Add Journal to My Library
Journal of the European Economic Association
, Volume Advance Article (3) – Sep 22, 2017

37 pages

/lp/ou_press/the-horizontally-s-shaped-laffer-curve-8yMa1W8aU0

- Publisher
- Oxford University Press
- Copyright
- © The Authors 2017. Published by Oxford University Press on behalf of European Economic Association.
- ISSN
- 1542-4766
- eISSN
- 1542-4774
- D.O.I.
- 10.1093/jeea/jvx027
- Publisher site
- See Article on Publisher Site

Abstract In a neoclassical growth model with incomplete markets and heterogeneous, liquidity-constrained agents, the properties of the Laffer curve depend on whether debt or transfers are adjusted to balance the government budget constraint. The Laffer curve conditional on public debt is horizontally S-shaped. Two opposing forces explain this result. First, when government wealth increases, the fiscal burden declines, calling for lower tax rates. Second, because the interest rate decreases when government wealth increases, fiscal revenues may also decline, calling for higher taxes. For sufficiently negative government debt, the second force dominates, leading to the odd shape of the Laffer curve conditional on debt. 1. Introduction Against a backdrop of fiscal consolidation in developed countries, the Laffer curve, that is, the inverted-U-shaped relation between fiscal revenues and tax rates, has recently received considerable attention; see, among many others, D’Erasmo Mendoza, and Zhang (2016, chap. 11), Guner, Lopez Daneri, and Ventura (2016), Holter, Krueger, and Stepanchuk (2014), and Trabandt and Uhlig (2011, 2012, chap. 6). In this context, the Laffer curve has proven a useful tool to quantify the available fiscal space. In this paper, we study issues related to the shape of the Laffer curve in the context of a neoclassical growth model with incomplete markets and heterogeneous, liquidity-constrained agents (hereafter, IM). We show that in an IM economy, there is no sense in which one can define a Laffer curve abstracting from whether debt or transfers are chosen to balance the government budget constraint. This is because the interest rate itself is not invariant to debt and transfers, contrary to what happens in a representative agent (RA) setup (see Aiyagari and McGrattan 1998). To address this issue, we develop the concept of conditional Laffer curves. Holding public debt constant, we vary transfers and adjust one tax rate accordingly. This yields a relation linking fiscal revenues to the tax rate conditional on transfers. By holding transfers constant and varying debt, we can similarly define a Laffer curve conditional on public debt. In an RA setup, the two conditional Laffer curves coincide, which is the mere reflection of the irrelevance of public debt and transfers for the equilibrium allocation and price system.1 In an IM setup, however, the picture changes dramatically. Although the Laffer curve conditional on transfers has the traditional inverted-U shape, its counterpart conditional on debt looks like a horizontal S. In this case, there can be one, two, or three tax rates compatible with a given level of fiscal revenues. The regular part of this curve (the part that indeed looks like an inverted U) is associated with positive government debt, whereas the odd part (the part that makes the curve look like a horizontal S) is associated with negative debt levels. To understand this odd shape, consider a situation such that the debt-output ratio becomes negative, say, because the government is now accumulating assets. There are two effects at work here. Obviously, if government wealth increases, the fiscal burden declines, calling for a lower tax rate to balance the budget constraint. This is the standard force present in an RA framework. However, in an IM context, there is another force at work: The interest rate decreases when government wealth increases. Other things equal, this reduces government revenues, calling for higher taxes. For sufficiently negative government debt, the second force dominates, leading to the oddly shaped Laffer curve conditional on debt. In practice, the key question is whether the odd portion of the Laffer curve conditional on debt is relevant from an empirical point of view or a mere theoretical curiosity. Defining debt as government liabilities net of financial assets and using a long data set featuring all the G7 countries, based on Piketty and Zucman (2014), we find occurrences of negative public debt for Japan, Germany, and the United Kingdom. One can alternatively define public debt as government liabilities net of nonfinancial assets (e.g., administrative buildings, subsoil, and intangibles such as artistic originals). This alternative definition is somewhat contentious because the National Accounts assume a zero net return on nonfinancial assets. However, it provides a rough assessment of government net wealth. Under this definition, negative public debt is pervasive. We conclude from both perspectives that the odd part of the Laffer curve conditional on debt is not a theoretical curiosity. To explore these issues, we consider a prototypical neoclassical model along the lines of Aiyagari and McGrattan (1998) and Flodén (2001). In this economy, households are subject to persistent, uninsurable, idiosyncratic productivity shocks and face a borrowing constraint. The model includes distortionary taxes on labor, capital, and consumption. These taxes are used to finance a constant share of government consumption in output, lump-sum transfers, and interest repayments on accumulated debt. Although the model is very simple and essentially qualitative, we strive to take it seriously to the data, matching key moments of earning and wealth distributions. We then study the steady-state conditional Laffer curves associated with each of the three taxes considered. Our main findings are the following. First, when transfers are varied, the Laffer curves in the IM economy look broadly like their RA counterparts. In our benchmark calibration, the revenue-maximizing labor income tax rate hardly differs from its RA counterpart. We reach similar conclusions when considering capital income and consumption taxes. Second, when debt is varied instead of transfers, the regular part of the Laffer curve is similar to its RA counterpart. However, whenever debt is negative, the two curves differ sharply, confirming the insight drawn from the above discussion. A corollary of our results is that the Laffer curves (conditional on transfers) are not invariant to the level of public indebtedness. This is potentially very important in the current context of high public debt-output ratios in the United States and other advanced economies. It turns out that the Laffer curves are only mildly affected by the debt-output ratio, provided that the latter is positive. However, for negative levels of public debt, we find that the Laffer curve associated with capital income taxes can be higher than its benchmark counterpart. Our results are robust to a series of model perturbations, such as lower labor supply elasticities, lower shares of government spending, alternative calibration targets for the debt-output ratio, alternative utility functions, and alternative processes for individual productivity. This paper is related to previous studies investigating taxation and/or public debt in an IM setup. The first strand, exemplified by Aiyagari and McGrattan (1998) and Flodén (2001), established that a proportional income tax rate changes nonmonotonically with debt. However, this literature did not explore how this feature could impact the shape of the Laffer curve. Röhrs and Winter (2015) recently extended this analysis to a carefully calibrated multitax environment. However, they also ignored the implications for the Laffer curve. Our paper complements this literature by focusing on how the conditional Laffer curve changes as debt or transfers vary. A second strand has explored the Laffer effect in the context of IM models. For example, Flodén and Lindé (2001) found that the Laffer curve peaks when the labor income tax is approximately 50% or higher. However, their analysis abstracts from public debt. More recently, using an IM setup, Ljungqvist and Sargent (2008) and Alonso-Ortiz and Rogerson (2010) revisited the effects of labor taxation studied by Prescott (2004). Ljungqvist and Sargent (2008) and Alonso-Ortiz and Rogerson (2010) compared the Laffer curves in IM and RA setups. Focusing on labor income taxes, they found that the prohibitive part of the Laffer curve in the IM case differs only mildly from that in the RA version of their model. However, they too abstract from government debt. Finally, Holter et al. (2014) characterize the impact of the progressivity of the labor tax code on the Laffer curve. They find that progressive labor taxes significantly reduce tax revenues. Guner et al. (2016) conclude that higher progressivity has limited effects on fiscal revenues. Our paper complements these works by further investigating the shape of the Laffer curve conditional on public debt. The rest of the paper is organized as follows. In Section 2, we review the empirical evidence on negative debt. In Section 3, we expound the IM model, define the steady-state equilibrium under study, and discuss our calibration strategy. We formally introduce the concept of conditional Laffer curves. In Section 4, we discuss our results. We also explore the robustness of our findings. The last section briefly concludes. 2. Historical Evidence on Public Debt As argued in the introduction, negative public debt plays a central role when analyzing Laffer curves. It is thus important to show that the possibility of negative public debt is empirically relevant. To this end, this section provides a historical review of the public debt dynamics of the G7 countries, covering over a century for some countries. Here, we consider two definitions of public debt. Let bg denote the difference between government liabilities and financial assets and kg denote nonfinancial assets held by the government. One can simply measure public debt as bg or alternatively as bg − kg. We use the data on the government balance sheet (market value of liabilities, financial assets, and nonfinancial assets) constructed by Piketty and Zucman (2014) to obtain two measures of public debt.2 The first indicator corresponds to bg and the second to bg − kg. These two measures are expressed as a fraction of national income. The data are available at an annual frequency. The countries are Canada, France, Germany, Italy, Japan, the United Kingdom (UK), and the United States (US). For France, Germany, the United Kingdom, and the United States, the sample covers more than one century, whereas the sample starts between 1960 and 1970 for Canada, Italy, and Japan. The data for all countries end in 2010. In the second definition, it is important to clarify the notion of nonfinancial assets. These include nonproduced assets (e.g., land, subsoil, water resources) and produced assets: (i) tangibles, such as dwellings, other nonresidential buildings and structures, machinery and equipment, and weapon systems and (ii) intangibles, such as computer software, entertainment, literacy, and artistic originals. Buildings and structures constitute, by far, the largest component of government nonfinancial wealth and are mainly owned by regional and local governments. It is important here to emphasize that this alternative definition of public debt is somewhat contentious. This is so because the net return on nonfinancial assets held by the government is assumed to be zero in the National Accounts. This limits the direct comparison with the public debt concept in our model. However, this alternative definition gives a useful assessment of government net wealth. Figure 1 reports the first debt definition, bg. The figure shows that in all the countries considered, large fluctuations in public debt are mainly associated with major historical events. After having borrowed 40% of its national income to pay for the Civil War, the US federal government reduced its debt by one-half in the wake of World War I. Subsequently, the debt-to-national-income ratio fluctuated around 40% until World War II. Between 1941 and 1945, the United States lent Britain and other countries money to help pay for military costs, and it spent a great deal on its own military expenditures, leading to debt that exceeded 1 year of national income. Following that war, the US economy grew, and the debt-to-income ratio displayed a downward trend until the mid-1970s when it reached 30%. In the early 1980s, a large increase in defense spending and substantial tax cuts contributed to ballooning debt. Before the Great Recession, the ratio was below 50%, but the resulting stimulus packages have led to an upward trend. Figure 1. View largeDownload slide Public debt—bg. Figure 1. View largeDownload slide Public debt—bg. Similarly, in the 1990s, secular increases in Canadian government services and entitlements pushed debt to 120% of national income. The Canadian government decided to reduce its spending in an attempt to generate surpluses. From 1996 to 2007, the debt-to-income ratio was divided by more than two. Since the 1970s, starting from a negative level, Japan's net debt has increased steadily. Over the 1990s and 2000s, Japan experienced no increase in nominal income, so the debt-to-income ratio has continuously increased. Japan has been unable to inflate its way out of debt, and it has made tiny interest payments to bondholders. Following the Napoleonic wars, the United Kingdom implemented a long and drastic austerity plan such that the debt represented 26% of national income in 1913. At the end of World War I, the ratio was 180% and remained virtually unchanged until the beginning of World War II. The war caused a sharp increase in debt (reaching 270% in 1947). Unlike France, Germany, Italy, and other continental countries, the United Kingdom refused to pursue inflationary default after either World War I or World War II. This explains why the United Kingdom displayed only a very gradual decline over the next three decades. From the early 1980s until 2008 (with the notable exception of 1990, where debt was negative), the United Kingdom's public debt hovered around 30%. During the nineteenth century, France experienced rising deficits, and its debt reached 100% of national income by 1890. Most of this increase occurred after 1870 when Germany imposed a costly indemnity on France as a result of the Franco-Prussian War. Consequently, when World War I began, France's debt exceeded 80% of national income. Despite inflation during World War I, the debt-to-income ratio rose to over 170% by the early 1920s. By the beginning of World War II, the ratio had decreased to 100% but shot to over 160% in 1944. France then inflated its way out of debt by imposing heavy losses on bondholders (the rate of inflation exceeded 50% per year between 1945 and 1948). The debt-to-income ratio decreased toward zero until the end of the 1970s and has continually increased since. Germany inflated its way out of its World War I debts through hyperinflation, wiping out bondholder wealth. The rate of inflation was 17% per year, on average, over the 1913–1950 period. In 1948, Germany used a currency conversion from military marks to Deutsche marks to significantly reduce its debt obligations. Importantly, German public debt was negative for roughly 30 years, from the early 1950s to 1980. Like France, Italy inflated its way out of debt after World War II. However, in stark contrast with France, Italy consistently ran budget deficits after World War II. In the mid-1990s, it reformed its public finances to prevent additional increases in the debt-to-income ratio. During this period, Italy benefited from lower interest rates. Figure 2 reports bg − kg, which accounts for government nonfinancial assets. Although substantial efforts have been undertaken to improve the measurement of these assets, caution is warranted, especially with cross-country comparisons (e.g., statistical methodology, data coverage, sample period). The nonfinancial assets of the sample countries share three important empirical features. Figure 2. View largeDownload slide Public debt—bg − kg. Figure 2. View largeDownload slide Public debt—bg − kg. First, nonfinancial assets greatly exceed financial assets (by 2 to 5 times). Second, in all countries (except Japan), ratios of nonfinancial assets to national income exhibit remarkable stability. Consequently, the second indicator is roughly a downward shift of the first indicator. Third, nonfinancial assets are of the same order of magnitude as government liabilities. It follows that bg − kg can be either positive or negative depending on the period. For most countries, regimes of positive debts have been followed by long periods of negative debts (see, for instance, France and the United Kingdom). The period 1950–1980 is especially striking, as it displays large negative debt-to-national-income ratios (see France, Germany, and the United States) due to large public assets and low debt levels. The ratios were between −50% and −100% in the early 1980s for France, Germany, the United Kingdom, and the United States. However, the ratios increased during the 1990–2000 period and were close to zero in 2010 (due to large increases in government liabilities). Canada displays another interesting pattern: The government debt-to-income ratio was 60% in 1996, subsequently returning to zero in just 15 years when inflation was stable around 2%. This historical evidence suggests that periods of negative debt (as a fraction of national income) are neither curiosities nor exceptional episodes. 3. Model 3.1. The Economic Environment We consider a discrete time economy without aggregate risk similar to that studied in Aiyagari and McGrattan (1998). Time is indexed by t ∈ N. The final good Yt, which is the numeraire, is produced by competitive firms, according to the technology \begin{equation*} Y_{t}=K_{t}^{\theta }(Z_{t}N_{t})^{1-\theta }, \end{equation*} where θ ∈ (0, 1) denotes the elasticity of production with respect to capital; Kt and Nt are the inputs of capital and efficient labor, respectively; and Zt is an exogenous technical progress index evolving according to Zt+1 = (1 + γ)Zt, with γ > 0 and Z0 = 1. Firms rent capital and efficient labor in competitive markets at rates rt + δ and wt, respectively. Here, δ ∈ (0, 1) denotes the depreciation rate of physical capital, rt is the interest rate, and wt is the wage rate. The first-order conditions for profit maximization are \begin{equation*} r_{t}+\delta =\theta \left( \frac{K_{t}}{Z_{t}N_{t}}\right) ^{\theta -1}, \end{equation*} \begin{equation*} w_{t}=(1-\theta )Z_{t}\left( \frac{K_{t}}{Z_{t}N_{t}}\right) ^{\theta }. \end{equation*} The economy is populated by a continuum of ex ante identical, infinitely lived households. The typical household utility is given by \begin{equation*} \text{E}\left\lbrace \sum _{t=0}^{\infty } \beta ^t \left[ \frac{1}{1-\sigma }\left( \frac{c_{t}}{Z_{t}}\right)^{1-\sigma } - \frac{\eta }{1+\chi }h_{t}^{1+\chi }\right] \ \vert a_{0},s_{0} \right\rbrace , \end{equation*} where E0{ · |a0, s0} is the mathematical expectation conditioned on the individual state at date 0. The individual state consists of initial assets a0 and the exogenous individual state s0. Here, β ∈ (0, 1) denotes the discount factor, ct ≥ 0 is individual consumption, 0 ≤ ht ≤ 1 is the individual labor supply, σ > 0 is the relative risk aversion coefficient, χ > 0 is the inverse of the Frisch elasticity of labor, and η > 0 is a scaling constant. Consumption appears in deviation from the index of technical progress to ensure a well-behaved, balanced-growth path. This nonstandard form is useful whenever σ ≠ 1. In the robustness section, we explore the sensitivity of our results to the limiting case σ = 1, which we interpret as logarithmic utility. In this particular case, our normalization does not play any role and utility is balanced-growth-path consistent.3 At the beginning of each period, households receive an individual productivity level st > 0. We assume that st is i.i.d. across agents and evolves over time according to a Markov process, with bounded support $$\mathcal {S}$$ and stationary transition function Q(s, s΄).4 An individual agent's efficient labor is stht, with corresponding labor earnings given by (1 − τN)wtstht, where τN denotes the labor income tax. In addition, agents self-insure by accumulating at units of assets that pay an after-tax rate of return (1 − τA)rt, where τA denotes the capital income tax. These assets can consist of units of physical capital and/or government bonds. Once arbitrage opportunities have been ruled out, each asset has the same rate of return. Agents must also pay a consumption tax τC. Finally, they perceive transfers Tt. Thus, an agent's budget constraint is \begin{equation*} (1+\tau _{C})c_{t}+a_{t+1} \le (1-\tau _{N})w_{t}s_{t}h_{t}+[1+(1-\tau _{A})r_{t}]a_{t}+T_{t}. \end{equation*} Borrowing is exogenously restricted by the constraint \begin{equation*} a_{t+1}\ge 0. \end{equation*} Finally, there is a government in the economy. The government issues debt Bt+1, collects tax revenues, provides rebates and transfers, and consumes Gt units of final goods. The associated budget constraint is given by \begin{equation*} B_{t+1}=(1+r_{t})B_{t}+T_{t}+G_{t}-(\tau _{A}r_{t}A_{t}+\tau _{N}w_{t}N_{t}+\tau _{C}C_{t}), \end{equation*} where Ct and At denote aggregate (per capita) consumption and assets held by the agents, respectively. 3.2. Equilibrium Defined In the remainder of this paper, we focus exclusively on the steady state of an appropriately normalized version of the above economy. Growing variables are rendered stationary by dividing them by Zt. Variables so normalized are indicated with a hat. The ratio of government expenditures to output g ≡ G/Y is assumed constant. It is convenient at this stage to define b ≡ B/Y and τ ≡ T/Y. We let $$\mathcal {A}$$ denote the set of possible values for assets $$\hat{a}$$. We let the joint distribution of agents across assets $$\hat{a}$$ and individual exogenous states s be denoted as $$x(\hat{a},s)$$ defined on $$\mathscr {A}\times \mathscr {S},$$ the Borel subsets of $$\mathcal {A}\times \mathcal {S}$$. Thus, for all $$\mathcal {A}_{0}\times \mathcal {S}_{0}\in \mathscr {A}\times \mathscr {S}$$, $$x(\mathcal {A}_{0},\mathcal {S}_{0})$$ is the mass of agents with assets $$\hat{a}$$ in $$\mathcal {A}_{0}$$ and individual state s in $$\mathcal {S}_{0}$$. We can now write an agent's problem in the recursive form \begin{eqnarray} v(\skew5\hat{a},s)=&\max\limits _{\hat{C},h,\hat{a}^\prime }& \quad \left\lbrace \frac{1}{1-\sigma }\hat{C}^{1-\sigma } - \frac{\eta }{1+\chi } h^{1+\chi } + \beta \int _{\mathcal {S}} v(\hat{a}^\prime ,s^\prime )Q(s,\mathrm{d}s^\prime ) \right\rbrace \nonumber \\ &\text{subj. to:}&\quad (1\!+\!\tau _C)\hat{C}\!+\!(1\!+\!\gamma )\hat{a}^\prime \le (1\!-\!\tau _N)\hat{w}\mathit {sh}\!+\!(1\!+\!(1\!-\!\tau _A)r)\hat{a}\!+\!\hat{T}, \nonumber \\ &&\quad\hat{a}^\prime \ge 0,\ \ \hat{C}\ge 0,\ \ 0\le h\le 1. \end{eqnarray} (1) For convenience, we restrict $$\hat{a}$$ to the compact set $$\mathcal {A}=[0,\hat{a}_{M}]$$, where $$\hat{a}_{M}$$ is a large number.5 We can thus define a stationary, recursive equilibrium in the following way. Definition 1. A steady-state equilibrium is a constant system of prices $$\lbrace r,\hat{w}\rbrace$$, a vector of constant policy variables $$(\tau _{C},\tau _{A},\tau _{N},\hat{T},\hat{G},\hat{B})$$, a value function $$v(\hat{a},s)$$, time-invariant decision rules for an individual's assets holdings, consumption, and labor supply $$\lbrace g_{a}(\hat{a},s),g_{c}(\hat{a},s),g_{h}(\hat{a},s\rbrace$$, a measure $$x(\hat{a},s)$$ of agents over the state space $$\mathcal {A}\times \mathcal {S}$$, aggregate quantities $$\hat{A}\equiv \int \hat{a}\mathrm{d}x$$, $$\hat{C}\equiv \int g_{c}(\hat{a},s)\mathrm{d}x$$, $$N\equiv \int sg_{h}(\hat{a},s)\mathrm{d}x$$, and $$\hat{K}$$ such that: The value function $$v(\hat{a},s)$$ solves the agent's problem stated in equation (1), with associated decision rules $$g_{a} (\hat{a},s)$$, $$g_{c}(\hat{a},s)$$, and $$g_{h} (\hat{a},s)$$; Firms maximize profits and factor markets clear so that \begin{equation*} \hat{w}=(1-\theta )\left( \frac{\hat{K}}{N}\right) ^{\theta }, \end{equation*} \begin{equation*} r+\delta =\theta \left( \frac{\hat{K}}{N}\right) ^{\theta -1}; \end{equation*} Tax revenues equal government expenses \begin{equation*} \tau _{N}\hat{w}N+\tau _{A}r\hat{A}+\tau _{C}\hat{C}=\hat{T}+\hat{G}+(r-\gamma )\hat{B}; \end{equation*} Aggregate savings equal firm demand for capital plus government debt \begin{equation*} \hat{A}=\hat{K}+\hat{B}; \end{equation*} The distribution x is invariant \begin{equation*} x(\mathcal {A}_{0},\mathcal {S}_{0}) = \int _{\mathcal {A}_{0}\times \mathcal {S}_{0}} \left\lbrace \int _{\mathcal {A}\times \mathcal {S}}\mathbf {1}_{\lbrace \hat{a}^{\prime }=g_{a}(\hat{a},s)\rbrace }Q(s,s^{\prime })\mathrm{d}x \right\rbrace \mathrm{d}a^{\prime }\mathrm{d}s^{\prime }, \end{equation*} for all $$\mathcal {A}_{0}\times \mathcal {S}_{0}\in \mathscr {A}\times \mathscr {S}$$, where 1{ · } is an indicator function taking value one if the statement is true and zero otherwise. For comparison purposes, we also consider a version of the model in which (i) we impose idiosyncratic labor income shocks st set to their average value and (ii) we relax the borrowing constraint. We refer to this environment as the RA environment. Notice that in this RA setup, the distinction between effective labor $$H \equiv \int g_h (\hat{a},s)\mathrm{d}x$$ and efficient labor N is no longer useful because the quantities coincide (up to a multiplicative constant). We thus incorporate a productivity scale factor Ω in front of Nt in the production function to compensate the RA economy for the average labor productivity effect present in the IM economy (i.e., the relative difference between N and H). By doing so, we ensure that in the benchmark calibration described below, all economies share the same interest rate, effective labor H, and stationary production level $$\hat{Y}$$. 3.3. The Laffer Curves From the government budget constraint, fiscal revenues (in deviation from Zt) $$\hat{R}$$ are given by \begin{equation*} \hat{R}=\tau _N\hat{w}N+\tau _Ar\hat{K}+\tau _C\hat{C}. \end{equation*} Notice that the level of fiscal revenues R is defined as net of fiscal receipts from taxing returns to public bonds. Traditionally, the steady-state Laffer curve associated with τi, i ∈ {N, A, C} is defined as follows. Let τi vary over an admissible range, holding the other two taxes constant. The Laffer curve is then the locus $$(\tau _i,\hat{R})$$, which relates the level of fiscal revenues $$\hat{R}$$ to the tax rates τi. This definition of the Laffer curve correctly takes into account the general equilibrium effects induced by a tax change, as argued by Trabandt and Uhlig (2011). For example, a given change in τN will modify x, ga, gh, and gc such that it will also impact all the fiscal bases. However, notice that in this definition, no reference is made to how the government balances its budget constraint when τi varies. Indeed, in equilibrium, we must always have \begin{equation*} \frac{R}{Y} = g+\tau +[(1-\tau _A)r-\gamma ]b, \end{equation*} so that a given change in one of the three tax rates is associated with a corresponding adjustment in either τ or b.6 In an RA setup, one can abstract safely from these adjustments, as shown in the following proposition. Proposition 1. In a RA setup, the steady-state Laffer curve associated with τi, i ∈ {N, A, C} is invariant to which of τ or b is adjusted to balance the government budget constraint. Proof of Proposition 1. See Appendix A. This proposition establishes that in an RA setup, given a change in one of the three distorting taxes, adjusting lump-sum transfers or public debt is of no consequence for the equilibrium allocation and price system, thus implying the same Laffer curve. This is just Ricardian equivalence at play, which in the present context, manifests itself notably through the invariance of the after-tax interest rate to changes in τ or b. In an IM setup, however, the invariance of the after-tax interest rate does not hold. Indeed, the after-tax interest rate is affected by the fact that capital and government bonds provide partial insurance to households. The cost of this insurance is reflected in the lower rate of return on those assets. When the government issues more debt, it effectively decreases the price of capital, thus lowering the insurance cost associated with holding capital. This translates into an increasing interest rate. By the same line of reasoning, because an increase in transfers also provides partial insurance to households, it also translates into an increasing interest rate. Hence, it is a priori unclear how balancing the government budget constraint via either τ or b affects the Laffer curve. As a consequence, in an IM setup, there is no sense in which one can define a Laffer curve independently from the way in which the government budget constraint is balanced. In order to organize our discussion, it is thus convenient at this stage to define the concept of a steady-state conditional Laffer curve as follows. Definition 2. Let b be fixed, and let τ vary over an admissible range. Let τi(τ), i ∈ {N, A, C}, denote the tax rate that balances the government budget constraint, holding the other two taxes constant, and let $$\hat{R}(\tau )$$ denote the associated level of government revenues. The steady-state Laffer curve conditional on transfers is the locus $$(\tau _i(\tau ),\hat{R}(\tau ))$$ relating tax rates to fiscal revenues. One can alternatively define the steady-state Laffer curve conditional on debt as the locus $$(\tau _i(b),\hat{R}(b))$$ by varying b over an admissible range, holding τ constant. Definition 2 leads us to the following proposition. Proposition 2. In an RA setup, the steady-state conditional Laffer curves $$(\tau _i(\tau ),\hat{R}(\tau ))$$ and $$(\tau _i(b),\hat{R}(b)$$ coincide, for all i ∈ {N, A, C}. Proof of Proposition 2. See Appendix B. This proposition establishes that in an RA setup, the notion of conditional Laffer curves serves no special purpose, since the curves coincide. In the rest of this paper, we focus on analyzing the extent to which they differ in an IM setup. 3.4. Calibration and Solution Method The model is calibrated to the US economy. The period is taken to be a year. Preferences are described by four parameters, σ, χ, η, and β. We set σ = 1.5, as is conventional in the literature, and consider two alternative values for χ. In our benchmark calibration, we set χ = 1, yielding a Frisch elasticity of labor supply equal to 1. Alternatively, we consider χ = 2, yielding a Frisch elasticity of labor supply equal to 0.5. Both values are common in the macroeconomic literature. In each case, we pin down η so that aggregate hours worked H ≡ ∫gh(a, s)dx equal to 0.25. The subjective discount factor β is adjusted so that the after-tax interest rate is equal to 4%, as in Trabandt and Uhlig (2011). The fiscal parameters b and g are set to match the debt-output ratio and the government consumption-output ratio reported by Trabandt and Uhlig (2011), that is, b = 0.63 and g = 0.18, respectively. The tax rates are calibrated to match estimates of effective tax rates computed using the methodology developed by Mendoza, Razin, and Tesar (1994). This yields τN = 0.28, τA = 0.38, and τC = 0.05. Using these parameters, the benchmark value of the transfer-output ratio τ is endogenously computed to balance the government budget constraint, yielding τ = 7.4%. Alternatively, we consider an economy with g set at a much smaller value. See the robustness section for more details. We assume that log (st) follows an AR(1) process \begin{equation*} \log (s_t) = \rho _s \log (s_{t-1}) + \sigma _s \varepsilon _t,\quad \varepsilon _t \sim N(0,1). \end{equation*} We interpret log (st) as the residual persistent and idiosyncratic part of the log-wage rate in the specification adopted by Kaplan (2012), once experience and individual fixed effects have been accounted for. In the latter paper, the estimation results based on year effects yield ρs = 0.958 and $$\sigma _s=\sqrt{0.017}$$. We approximate this AR(1) process via the Rouwenhorst (1995, chap. 10) method, as advocated by Kopecky and Suen (2010), using ns = 7 points. This yields a transition matrix $$\tilde{\pi }$$ and a discrete support for individual productivity levels $$\lbrace s_1,\ldots ,s_{n_s}\rbrace$$. In the spirit of Kindermann and Krueger (2014), we then allow for an eighth state corresponding to very high labor productivity. As they argue, such a state is a reduced form for entrepreneurial or artistic opportunities yielding very high labor income. The final transition matrix is then \begin{equation*} \pi = \left( \begin{array}{cccccc} \tilde{\pi }_{11}(1-p_8) &\quad \cdots &\quad \tilde{\pi }_{14}(1-p_8) &\quad \cdots &\quad \tilde{\pi }i_{17}(1-p_8) &\quad p_8 \\ \vdots &\quad &\quad \vdots &\quad &\quad \vdots &\quad \vdots \\ \tilde{\pi }_{71}(1-p_8) &\quad \cdots &\quad \tilde{\pi }_{74}(1-p_8) &\quad \cdots &\quad \tilde{\pi }_{77}(1-p_8) &\quad p_8 \\ 0 &\quad \cdots &\quad 1-p_{88} &\quad \cdots &\quad 0 &\quad p_{88} \\ \end{array} \right). \end{equation*} Here, p8 is the probability of reaching the eighth productivity state from any normal productivity level. Additionally, p88 is the probability of staying in the high labor income state conditional on being in this state. This specification of labor income shocks gives us three parameters (p8, p88, s8), which we adjust to match, as closely as possible, the Gini coefficient of the wealth distribution (Gw = 0.82), the share of wealth held by the richest 20% ($$\bar{a}_5=0.83$$), and the Gini coefficient of the labor earning distribution (Ge = 0.64), as reported by Díaz-Gímenez, Glover, and Ríos-Rull (2011). The calibration is summarized in Table 1. In the robustness section, we explore the sensitivity of our results to an alternative calibration in which the process for s does not have the extra productivity level and boils down to the AR(1) specification of Kaplan (2012). Table 1. Parameters and calibration targets. Common parameters $$\gamma =0.02,\qquad \theta =0.38,\qquad \delta =0.07,\qquad \tau _N=0.28,\qquad \tau _A=0.36,\qquad \tau _C=0.05$$ Specific parameters Benchmark Low g High χ Low b Log utility Alternative s χ = 1, b = 0.63, χ = 1, b = 0.63, χ = 2, b = 0.63, χ = 1, b = −0.50, χ = 1, b = 0.63, χ = 1, b = 0.63, g = 0.18, σ = 1.50 g = 0.05, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.00 g = 0.18, σ = 1.50 β 0.94 0.95 0.94 0.93 0.95 0.94 η 13.00 8.00 47.00 12.00 9.00 13.00 p8 1.20% 1.25% 1.20% 1.80% 1.25% – p88 85% 85% 85% 74% 85% – s8/s7 4.40 3.60 5.30 4.40 3.40 – Calibration targets (1 − τA)r 0.04 0.04 0.04 0.04 0.04 0.08 H 0.25 0.25 0.25 0.25 0.25 0.30 Ge 0.63 0.63 0.63 0.63 0.64 0.27 Gw 0.79 0.79 0.79 0.80 0.79 0.63 $$\bar{a}_{5}$$ 0.83 0.83 0.83 0.83 0.83 0.63 Common parameters $$\gamma =0.02,\qquad \theta =0.38,\qquad \delta =0.07,\qquad \tau _N=0.28,\qquad \tau _A=0.36,\qquad \tau _C=0.05$$ Specific parameters Benchmark Low g High χ Low b Log utility Alternative s χ = 1, b = 0.63, χ = 1, b = 0.63, χ = 2, b = 0.63, χ = 1, b = −0.50, χ = 1, b = 0.63, χ = 1, b = 0.63, g = 0.18, σ = 1.50 g = 0.05, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.00 g = 0.18, σ = 1.50 β 0.94 0.95 0.94 0.93 0.95 0.94 η 13.00 8.00 47.00 12.00 9.00 13.00 p8 1.20% 1.25% 1.20% 1.80% 1.25% – p88 85% 85% 85% 74% 85% – s8/s7 4.40 3.60 5.30 4.40 3.40 – Calibration targets (1 − τA)r 0.04 0.04 0.04 0.04 0.04 0.08 H 0.25 0.25 0.25 0.25 0.25 0.30 Ge 0.63 0.63 0.63 0.63 0.64 0.27 Gw 0.79 0.79 0.79 0.80 0.79 0.63 $$\bar{a}_{5}$$ 0.83 0.83 0.83 0.83 0.83 0.63 View Large Table 1. Parameters and calibration targets. Common parameters $$\gamma =0.02,\qquad \theta =0.38,\qquad \delta =0.07,\qquad \tau _N=0.28,\qquad \tau _A=0.36,\qquad \tau _C=0.05$$ Specific parameters Benchmark Low g High χ Low b Log utility Alternative s χ = 1, b = 0.63, χ = 1, b = 0.63, χ = 2, b = 0.63, χ = 1, b = −0.50, χ = 1, b = 0.63, χ = 1, b = 0.63, g = 0.18, σ = 1.50 g = 0.05, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.00 g = 0.18, σ = 1.50 β 0.94 0.95 0.94 0.93 0.95 0.94 η 13.00 8.00 47.00 12.00 9.00 13.00 p8 1.20% 1.25% 1.20% 1.80% 1.25% – p88 85% 85% 85% 74% 85% – s8/s7 4.40 3.60 5.30 4.40 3.40 – Calibration targets (1 − τA)r 0.04 0.04 0.04 0.04 0.04 0.08 H 0.25 0.25 0.25 0.25 0.25 0.30 Ge 0.63 0.63 0.63 0.63 0.64 0.27 Gw 0.79 0.79 0.79 0.80 0.79 0.63 $$\bar{a}_{5}$$ 0.83 0.83 0.83 0.83 0.83 0.63 Common parameters $$\gamma =0.02,\qquad \theta =0.38,\qquad \delta =0.07,\qquad \tau _N=0.28,\qquad \tau _A=0.36,\qquad \tau _C=0.05$$ Specific parameters Benchmark Low g High χ Low b Log utility Alternative s χ = 1, b = 0.63, χ = 1, b = 0.63, χ = 2, b = 0.63, χ = 1, b = −0.50, χ = 1, b = 0.63, χ = 1, b = 0.63, g = 0.18, σ = 1.50 g = 0.05, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.50 g = 0.18, σ = 1.00 g = 0.18, σ = 1.50 β 0.94 0.95 0.94 0.93 0.95 0.94 η 13.00 8.00 47.00 12.00 9.00 13.00 p8 1.20% 1.25% 1.20% 1.80% 1.25% – p88 85% 85% 85% 74% 85% – s8/s7 4.40 3.60 5.30 4.40 3.40 – Calibration targets (1 − τA)r 0.04 0.04 0.04 0.04 0.04 0.08 H 0.25 0.25 0.25 0.25 0.25 0.30 Ge 0.63 0.63 0.63 0.63 0.64 0.27 Gw 0.79 0.79 0.79 0.80 0.79 0.63 $$\bar{a}_{5}$$ 0.83 0.83 0.83 0.83 0.83 0.63 View Large The solution method is now briefly described.7 Given the calibration targets for the debt-output ratio and the tax rates, we postulate candidate values for the interest rate r and aggregate efficient labor N. We then solve the government budget constraint for the transfer-output ratio. To do so, we use the representative firm's first-order conditions, which give us values for $$\hat{K}$$ and $$\hat{w}$$, and the aggregate resource constraint, from which we determine $$\hat{C}$$. Given these values, we solve the agent's problem using the endogenous grid method proposed by Carroll (2006) and adapted to deal with the endogenous labor supply in the spirit of Barillas and Fernandez-Villaverde (2007). Using the implied decision rules, we then solve for the stationary distribution, as in Ríos-Rull (1999), and use it to compute aggregate quantities. We then iterate on r and N and repeat the whole process until the markets for capital and labor clear. For a given N, the interest rate is updated via a hybrid bisection-secant method. The bisection part of the algorithm is activated whenever the secant would update r to a value higher than the RA interest rate (which would result in diverging private savings, as shown in Aiyagari 1994). Once the market-clearing r is found, N is updated with a standard secant method.8 To compute the conditional Laffer curves, we adapt the previous algorithm as follows. We first vary either the transfer-output ratio or the debt-output ratio over pre-specified ranges. At each grid point, given the postulated pair (r, N), the government steady-state budget constraint is balanced by adjusting one of the three tax rates considered, holding the other two constant. Given values for the debt-output ratio or the transfer-output ratio, we then solve for the agent's decision rules and for the stationary distribution. We then iterate on r and N as described above. 4. Results 4.1. Labor Income Taxes Figure 3 describes how the conditional Laffer curve associated with labor income taxes τN is constructed when the transfer-output ratio τ = T/Y is varied. Panel A (top left graph) shows the relation between the level of fiscal revenues $$\hat{R}(\tau )$$ and τ. Panel B (top right graph) shows the corresponding relation between τN(τ) and τ. Finally, panel C (bottom graph) is a combination of the previous two relations. The black dotted line corresponds to the IM setup, and the dashed gray line is associated with the RA economy. Figure 3. View largeDownload slide Construction of the Laffer curve conditional on transfers—labor income taxes. The black dotted line corresponds to the IM economy, and the dashed gray curve is associated with the RA economy. Figure 3. View largeDownload slide Construction of the Laffer curve conditional on transfers—labor income taxes. The black dotted line corresponds to the IM economy, and the dashed gray curve is associated with the RA economy. In both IM and RA economies, the Laffer curve conditional on τ has the classic inverted-U shape, as displayed in panel C. To understand this shape, consider a simplified setup in which τA = τC = 0. In this configuration, the government budget constraint simplifies to \begin{equation*} \frac{R}{Y} = (1-\theta )\tau _N(\tau ) = g + \tau + (r-\gamma )b. \end{equation*} Because g and b are held constant, assuming differentiability, we obtain from the above equation \begin{equation*} \dfrac{\partial \left(\frac{R}{Y}\right)}{\partial \tau } = (1-\theta )\dfrac{\partial \tau _N}{\partial \tau } = 1 + \dfrac{\partial r}{\partial \tau }b. \end{equation*} In the RA economy, since ∂r/∂τ = 0 (see the proof of proposition 1), fiscal revenues as a share of GDP R/Y unambiguously increase when τ increases. As the above equation shows, this also implies that labor income taxes increase with τ. Thus, output declines when taxes increase.9 The level of fiscal revenues $$\hat{R}$$ is the product of a term that declines with τ and another that is an increasing function of τ. This yields the inverted-U shape obtained for $$\hat{R}(\tau )$$ in the RA setup. In the IM setup, changes in transfers impact the steady-state interest rate. This is so because higher transfers reduce the self-insurance motive and thus reduce capital accumulation by private agents. We thus expect ∂r/∂τ to be positive. Since b is positive in our benchmark calibration, we obtain that R/Y increases with τ. For the same insurance motive, higher transfers also reduce the aggregate labor supply and the capital stock. This is reinforced by the fact that higher transfers come hand in hand with higher labor taxation. Since both N and $$\hat{K}$$ decline, aggregate output $$\hat{Y}$$ also declines. Since in both setups, τN is an increasing function of τ (see panel B), the locus $$(\tau _N(\tau ),\hat{R}(\tau ))$$ inherits the inverted-U shape obtained for $$(\tau ,\hat{R}(\tau ))$$, thus yielding a classic Laffer curve. In the general case, when τC and τA are nonzero, the above reasoning holds but must also take into account the responses of $$\hat{K}$$ and $$\hat{C}$$ to changes in τ. These endogenous responses combine to define the curves reported in Figure 3. Notice that the conditional Laffer curve in the IM setup clearly resembles its RA counterpart. If anything, the only difference is that the right-hand side of the Laffer curve in this case declines at a slower pace than its RA counterpart. When transfers are adjusted, resorting to an RA model or to an IM model to characterize the shape and peak of the labor income tax Laffer curve has only mild consequences. Figure 4 reports key aggregate variables that are useful for understanding the underpinnings of the Laffer curve conditional on transfers. In the RA setup, as previously explained, the after-tax interest rate is invariant to changes in transfers. This, in turn, implies that the capital-labor ratio is fixed. In this setup, an increase in transfers essentially boils down to an increase in the labor income tax, which translates into lower equilibrium hours worked and, thus, output. In contrast, in an IM economy, the interest rate increases as transfer increase. This is the mere reflection of lower precautionary savings. This translates into an even lower capital stock than in the RA setup for sufficiently large transfers. The increase in labor income tax then lowers employment, which also results in lower output. Figure 4. View largeDownload slide Aggregate variables—Laffer curve on τN conditional on τ. The black dotted line corresponds to the benchmark IM setup for the Laffer curve on τN conditional on τ (thus holding b constant). The dashed grey line corresponds to the RA economy. Figure 4. View largeDownload slide Aggregate variables—Laffer curve on τN conditional on τ. The black dotted line corresponds to the benchmark IM setup for the Laffer curve on τN conditional on τ (thus holding b constant). The dashed grey line corresponds to the RA economy. We turn now to the Laffer curve for labor income taxes τN conditional on the debt-output ratio b. Figure 5 describes how this curve is constructed. Panel A (top left graph) shows the relation between $$\hat{R}(b)$$ and b. Panel B (top right graph) shows the corresponding relation between τN(b) and b. Finally, panel C (bottom graph) is a combination of the previous two relations. The plain black line corresponds to the IM setup and the dashed gray line is associated with the RA economy. Figure 5. View largeDownload slide Construction of the Laffer curve conditional on debt—labor income taxes. The black line corresponds to the incomplete-market economy, and the dashed gray curve is associated with the RA economy. Figure 5. View largeDownload slide Construction of the Laffer curve conditional on debt—labor income taxes. The black line corresponds to the incomplete-market economy, and the dashed gray curve is associated with the RA economy. When debt is varied, the conditional Laffer curve now looks like an oriented horizontally S. In the left part of the graph, for relatively low tax levels, the Laffer curve has an increasing branch, which reaches the usual pattern as labor income taxes decrease. This junction takes place at what appears to be a minimum tax level that is close to 25%. Interestingly, the minimum labor income tax obtains for a debt-output ratio close to −96%. Above this level, there can be one, two, or three tax rates associated with a given level of fiscal revenues. That is, there can be two levels of fiscal revenues associated with the same tax rate on the odd part of the Laffer curve conditional on debt: A high (low) level associated with negative (positive) debt. What explains the odd shape of the Laffer curve in the left part of Figure 5 when the debt-output ratio is varied? To gain insight into this question, imagine again a simplified setting in which τC = τA = 0. Assuming differentiability of fiscal revenues with respect to b, one obtains \begin{equation*} \frac{\partial \left( \frac{R}{Y} \right)}{\partial b} = (1-\theta )\frac{\partial \tau _N}{\partial b} = (r-\gamma ) + b\frac{\partial r}{\partial b}. \end{equation*} Now, because public debt crowds out capital in the household's portfolio, we expect ∂r/∂b > 0. Indeed, as shown by Aiyagari and McGrattan (1998), when b is large, $$\hat{K}$$ decreases, which increases the equilibrium interest rate r. Conversely, when b is negative and large in absolute value, private wealth $$\hat{a}$$ shrinks, and the aggregate level of capital $$\hat{K}$$ increases, which decreases the equilibrium interest rate. Thus, the term b∂r/∂b changes sign when b changes sign. For a sufficiently negative debt-output ratio, we can thus observe a change in the sign of ∂(R/Y)/∂b and, because R/Y = (1 − θ)τN, a corresponding change in the sign of ∂τN/∂b. At the same time, as shown in Figure 6, $$\hat{K}$$ and N decrease with $$\hat{B}$$, so $$\hat{Y}$$ is also decreasing with $$\hat{B}$$. Thus, the level of fiscal revenues $$R(\hat{B})$$ is obtained as the product of a relation that changes sign and another that is strictly decreasing, thus yielding a horizontal S shape (see panel A). Now, given the nonmonotonic response of $$\tau _N(\hat{B})$$ (see panel B), the Laffer curve conditional on debt, which is a combination of panels A and B, also exhibits a horizontal S shape (panel C).10 Figure 6. View largeDownload slide Aggregate variables—Laffer curve on τN conditional on b. The black line corresponds to the benchmark IM setup for the Laffer curve on τN conditional on b (thus holding τ constant). The dashed grey line corresponds to the RA economy. Figure 6. View largeDownload slide Aggregate variables—Laffer curve on τN conditional on b. The black line corresponds to the benchmark IM setup for the Laffer curve on τN conditional on b (thus holding τ constant). The dashed grey line corresponds to the RA economy. Starting from a negative debt-output ratio $$\hat{B}$$, output, τN, and R are large. As the government sells more and more assets, that is, as $$\hat{B}$$ increases, output and τN decline, so R also declines. This corresponds to the odd part of the Laffer curve. In this region, there are two forces at play. First, as $$\hat{B}$$ increases, the capital stock decreases, thus implying declining real wages and resulting in declining aggregate labor N. Second, because τN also decreases, agents are willing to supply more labor. It turns out that the first force dominates. Once the minimal tax is reached, τN and $$\hat{R}$$ start to increase whereas $$\hat{Y}$$ is still declining. This corresponds to the regular part of the Laffer curve, that is, the part that looks like an inverted U. In this region, increases in τN dominate the disincentives of taxation up to the maximal tax rate after which the disincentives start to dominate. In the general case, when τC and τA are nonzero, the above reasoning holds but must also take into account the responses of $$\hat{K}$$ and $$\hat{C}$$. These endogenous responses combine to define the point at which fiscal revenues exhibit the odd shape identified above. This also defines the minimal labor income tax. Figure 6 reports key aggregate variables that are useful for understanding the underpinnings of the Laffer curve conditional on debt. The results for the RA model are exactly the same as in Figure 4. In the IM setup, things are radically modified. The interest rate increases steeply as the debt-output ratio increases. This is the crowding-out effect emphasized by Aiyagari and McGrattan (1998). This translates into a steep decline in capital as well. Labor, in turn, is the mirror image of the tax rate. In particular, as public debt becomes increasingly negative, labor starts to decline precisely when taxes start to increase. 4.2. Capital Income Taxes Figure 7 reports three Laffer curves associated with variations in τA. The dashed gray curve corresponds to the RA economy. The black dotted line is the Laffer curve conditional on transfers $$\hat{T}$$ in the IM setup. Finally, the black line is the Laffer curve conditional on debt $$\hat{B}$$ in the IM economy. To save space, we dispense with a complete description of how the conditional Laffer curves are constructed, as the process closely parallels the previously explained steps. Figure 7. View largeDownload slide Laffer curves—capital income tax. Level of fiscal revenues as a function of labor income tax τA. The black dotted line corresponds to the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA economy. Figure 7. View largeDownload slide Laffer curves—capital income tax. Level of fiscal revenues as a function of labor income tax τA. The black dotted line corresponds to the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA economy. In the case when transfers are varied, the conditional Laffer curve associated with τA has the standard inverted-U shape. It has the overall same shape as the curve that would obtain in the RA economy, as shown in Figure 7.11 As was the case for labor income taxes, when the debt-output ratio $$\hat{B}$$ is varied, we reach very different conclusions (see the black curve in Figure 7). Under this assumption, the Laffer curve also looks like a horizontally oriented S. In the left part of the graph, for relatively low tax levels, the Laffer curve has an increasing branch that follows the regular pattern as capital income taxes decrease. Once again, this junction takes place at what appears to be a minimum tax level close to 25%. Interestingly, the minimum capital income tax obtains for a debt-output ratio close to −129%. Above this level, there can be one, two, or three tax rates associated with a given level of fiscal revenues. 4.3. Consumption Taxes Figure 8 reports three Laffer curves associated with variations in τC, defined in the exact way as before. The dashed gray line corresponds to the RA economy as above. The black dotted line is the Laffer curve associated with the IM economy conditional on transfers $$\hat{T}$$. Finally, the black line is the Laffer curve in the IM economy conditional on the debt-output ratio $$\hat{B}$$.12 Figure 8. View largeDownload slide Laffer curves—consumption tax. Level of fiscal revenues as a function of labor income tax τA. The black dotted line corresponds to the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA economy. Figure 8. View largeDownload slide Laffer curves—consumption tax. Level of fiscal revenues as a function of labor income tax τA. The black dotted line corresponds to the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA economy. As in Trabandt and Uhlig (2011), the Laffer curve associated with τC does not exhibit a peak in either the RA setup or the IM setup with adjusted transfers. In the latter, fiscal revenues are slightly higher than in the former. Fundamentally, in both settings, taxing consumption is like taxing labor (both taxes appear similarly in the first-order condition governing labor supply). A difference, though, is that in an IM economy such as ours, agents with low labor productivity choose not to work whenever they hold enough assets. Clearly, those agents would not suffer from labor income taxation but do suffer from consumption taxes. Combined with the relative inelasticity of the labor supply in the IM setup, this explains why the government can raise more revenues in this framework than in the RA setup. As in the previous sections, when the debt-output ratio $$\hat{B}$$ is varied, we reach different conclusions (see the black curve in Figure 8). Under this assumption, in the left part of the graph, for relatively low tax levels, the Laffer curve has an increasing branch that follows the regular pattern as consumption taxes decrease. Again, this junction takes place at what appears to be a minimum tax level that is close to 1.42%, which is associated with a debt-output ratio close to −110.8%. Above this level, there can be two tax rates associated with a given level of fiscal revenues. 4.4. Corollary Proposition 1 establishes that the Laffer curves associated with τi, i ∈ {N, A, C} do not depend on the debt-output ratio in a RA setup. That is, the Laffer curves in an economy with a debt-output ratio of 63% are the same as those in an economy with a debt-output ratio of −50%. However, the previous analyses suggest that we should not expect this property to hold in an IM framework due to the general equilibrium feedback effect of public debt on the after-tax interest rate. This section investigates how variations in the steady-state debt-output ratio impact the Laffer curve conditional on transfers. The results are reported in Figure 9. Panels A, B, and C report the Laffer curves associated with labor income taxes, capital income taxes, and consumption taxes, respectively. For each tax considered in the analysis, three Laffer curves (conditional on transfers) are drawn. The plain black lines correspond to the benchmark calibration in which b = 0.63. The black dashed lines correspond to an alternative economy with b = −0.5, holding all the other parameters to their benchmark value. As before, the dashed grey lines correspond to the Laffer curves under the RA model, which we report to facilitate comparison. Figure 9. View largeDownload slide Laffer curves conditional on τ for alternative b. Laffer curves conditional on transfers for alternative levels of the steady-state debt-output ratio. Figure 9. View largeDownload slide Laffer curves conditional on τ for alternative b. Laffer curves conditional on transfers for alternative levels of the steady-state debt-output ratio. Several interesting results emerge. First, panels A and C show that for the range of the debt-output ratios considered here, the Laffer curves associated with labor income taxes τN and the consumption taxes τC hardly differ. To some extent, this is reassuring given the current fiscal context in the United States. However, panels A and C also show that for negative debt levels, the Laffer curves on τN and τC are somewhat higher than their benchmark counterparts. More striking differences emerge from panel B, which shows the Laffer curves associated with capital income taxation. 4.5. Robustness In our robustness assessment, we explore five alternative calibrations. The first considers a lower elasticity of labor supply (χ = 2), because the Laffer curve has been found to be very sensitive to this parameter (see Trabandt and Uhlig 2011). The second considers a lower share of government spending. Here, we set g to a smaller number, 5%, adjusting τ to a larger value. As argued by Oh and Reis (2012) and Prescott (2004), a significant share of government spending can be thought as transfers. Also, as argued in Section 2, public debt (net of financial assets) is negative, on average, over the last century in the United States, with a value of approximately −50%. In our third robustness check, we recalibrate the government debt-output ratio to match this number. In our fourth robustness check, we explore the sensitivity of the oddly-shaped Laffer curves to the log-utility case (σ = 1 in the utility function). Finally, in our last robustness check, we drop the exceptional productivity level and adopt the process for idiosyncratic labor productivity estimated by Kaplan (2012). In each robustness analysis, except for the last one, we recalibrate the model to match the calibration targets as in the benchmark case. The calibration details are reported in Table 1. The results are reported in Figures 10 (lower Frisch elasticity), 11 (lower share of government spending), 12 (negative debt-output ratio), 13 (log-utility), and 14 (alternative process for s). Figure 10. View largeDownload slide Laffer curves—lower elasticity of labor supply. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 10. View largeDownload slide Laffer curves—lower elasticity of labor supply. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 11. View largeDownload slide Laffer curves—lower share of government spending. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 11. View largeDownload slide Laffer curves—lower share of government spending. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 12. View largeDownload slide Laffer curves—negative debt-output ratio. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 12. View largeDownload slide Laffer curves—negative debt-output ratio. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 13. View largeDownload slide Laffer curves—log utility. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 13. View largeDownload slide Laffer curves—log utility. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 14. View largeDownload slide Laffer curves—alternative process for s. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. Figure 14. View largeDownload slide Laffer curves—alternative process for s. The black dotted line is associated with the Laffer curve conditional on transfers, the plain black line is associated with the Laffer curve conditional on debt, and the dashed grey line corresponds to the RA Laffer curve. The bottom line is that in all our robustness analyses, our qualitative results hold. In particular, in each alternative calibration, we find that in an IM economy, the Laffer curves conditional on debt look like a horizontal S for labor income and capital income taxes, whereas the Laffer curves conditional on transfers resemble their RA analogs. Notice that an odd shape appears even for the Laffer curve on consumption taxes conditional on debt. 5. Conclusion In this paper, we have inspected how allowing for liquidity-constrained agents and incomplete financial markets impacts the shape of the Laffer curve. To address this question, we formulated a neoclassical growth model along the lines of Aiyagari and McGrattan (1998). The model was calibrated to the US economy to mimic great ratios as well as moments related to the wealth and earning distributions. We paid particular attention to which of debt or transfers are adjusted to balance the government budget constraint as taxes are varied. In a RA framework, this does not matter, whereas opting to adjust debt rather than transfers is important in an IM setup. Our main findings are the following. The properties of the Laffer curve depend on whether it is conditional on debt or conditional on transfers. When we consider Laffer curves conditional on transfers, the results in an IM economy closely resemble their RA analogs. However, when we consider Laffer curves conditional on debt, we obtain a dramatically different picture. Now, the Laffer curves on labor and capital income taxes resemble horizontal Ss, meaning that there can be up to three tax rates associated with the same level of fiscal revenues. These properties appear robust to a series of alternative specifications/calibrations. Appendix A: Proof of Proposition 1 Recall that we defined \begin{equation*} \tau \equiv \frac{\hat{T}}{\hat{Y}},\qquad b\equiv \frac{\hat{B}}{\hat{Y}}. \end{equation*} In the representative agent version of the model, the steady-state system is \begin{equation} \hat{C}+(\gamma +\delta )\hat{K}=(1-g)\hat{Y}, \end{equation} (A.1) \begin{equation} (1+\tau _{C})\hat{\Lambda }=\hat{C}^{-\sigma }, \end{equation} (A.2) \begin{equation} \hat{\Lambda }(1-\tau _{N})\hat{w}=\eta H^{\chi }, \end{equation} (A.3) \begin{equation} \hat{Y}=\hat{K}^{\theta }(\Omega H)^{1-\theta }, \end{equation} (A.4) \begin{equation} r+\delta =\theta \frac{\hat{Y}}{\hat{K}}, \end{equation} (A.5) \begin{equation} \hat{w}=(1-\theta )\frac{\hat{Y}}{H}, \end{equation} (A.6) \begin{equation} 1+\gamma =\beta [1+(1-\tau _{A})r]. \end{equation} (A.7) The system is solved recursively in the usual manner. Combining (A.7) and (A.5), one arrives at \begin{equation*} \frac{\hat{Y}}{\hat{K}}=\frac{1+\gamma -\beta [1-(1-\tau _{A})\delta ]}{\beta (1-\tau _{A})\theta }. \end{equation*} Using (A.4), this implies \begin{equation*} \frac{\hat{K}}{H}=\left( \frac{\hat{Y}}{\hat{K}}\right) ^{\frac{1}{\theta -1}}\Omega \end{equation*} and \begin{equation*} \frac{\hat{Y}}{H}=\left( \frac{\hat{Y}}{\hat{K}}\right) ^{\frac{\theta }{\theta -1}}\Omega . \end{equation*} Using (A.1), this implies that \begin{equation*} \frac{\hat{C}}{H}=(1-g)\frac{\hat{Y}}{H}-(\gamma +\delta )\frac{\hat{K}}{H}. \end{equation*} Then, combining (A.2), (A.3), and (A.6), one arrives at \begin{equation*} \frac{1-\theta }{\eta }\frac{1-\tau _{N}}{1+\tau _{C}}\frac{\hat{Y}}{H}\hat{C}^{-\sigma }=H^{\chi }, \end{equation*} and rearranging yields \begin{equation*} H = \left( \frac{1-\theta }{\eta } \frac{1-\tau _{N}}{1+\tau _{C}} \frac{\hat{Y}}{H}\left( \frac{\hat{C}}{H}\right) ^{-\sigma } \right) ^{\frac{1}{\chi +\sigma }}. \end{equation*} Having solved for H, we can solve for all the other variables. It thus turns out that the steady-state allocation $$(\hat{C},\hat{K},H,\hat{Y})$$ and the steady-state price system $$(r,\hat{w})$$ do not depend on either τ or b. Tax revenues $$\hat{R}$$, in turn, depend only on the tax system (τN, τA, τC), the steady-state allocation and the steady-state price system. Thus, for i ∈ {N, A, C}, the Laffer curve associated with τi is independent of either τ or b. As an aside, we noted that in practice, we recalibrate η and β so that the RA model and the benchmark IM model have the same H and r given otherwise identical structural parameters (i.e., θ, δ, γ, σ, χ) and identical fiscal parameters (i.e., b, τ, τA, τN, τC). Hence, given a value of r, we back out β via (A.7), yielding \begin{equation*} \beta =\frac{1+\gamma }{1+(1-\tau _{A})r}. \end{equation*} Similarly, given r and H, we back out η using \begin{equation*} \eta = \frac{1-\theta }{H^{\chi +\sigma }} \frac{1-\tau _{N}}{1+\tau _{C}} \frac{\hat{Y}}{H} \left( \frac{\hat{C}}{H}\right) ^{-\sigma } \end{equation*} using the formulas for $$\hat{Y}/H$$ and $$\hat{C}/H$$ obtained above. Appendix B: Proof of Proposition 2 Given proposition 1, it is sufficient to establish the existence of a one-to-one relationship between τ and τi, and between b and τi, i ∈ {N, A, C}, to prove that the two conditional Laffer curves (τi(τ), R(τ)) and (τi(b), R(b)) coincide in the RA setup. To this end, let $$\tilde{r}\equiv (1-\tau _{A})r$$ denote the after-tax interest rate. We thus have \begin{equation*} \tilde{r}=\frac{1+\gamma }{\beta }-1. \end{equation*} Notice that in the RA model, the steady-state $$\tilde{r}$$ does not depend on any of the three tax rates considered. Fiscal revenues as a share of GDP are then \begin{equation*} \frac{\hat{R}}{\hat{Y}} = (1-\tau _{N})(1-\theta ) + \tau _{C}\frac{\hat{C}}{\hat{Y}} + \frac{\tau _{A}}{1-\tau _{A}}\tilde{r}\frac{\hat{K}}{\hat{Y}}. \end{equation*} B.1. Labor Income Tax Let us first consider the labor income tax τN. As shown above, $$\hat{Y}/\hat{K}$$, $$\hat{K}/H$$, $$\hat{Y}/H$$, and $$\hat{C}/H$$ do not depend on τN. It follows that \begin{equation*} \frac{\partial }{\partial \tau _{N}}\left( \frac{\hat{R}}{\hat{Y}}\right)=1-\theta >0. \end{equation*} At the same time, we have \begin{equation*} \frac{\hat{R}}{\hat{Y}}=g+\tau +(\tilde{r}-\gamma )b. \end{equation*} Because $$\tilde{r}$$ is tax invariant, assuming that τ is adjusted and b is fixed, one obtains \begin{equation*} \frac{\partial \tau }{\partial \tau _{N}}=\frac{\partial }{\partial \tau _{N}}\left(\frac{\hat{R}}{\hat{Y}}\right) =1-\theta >0. \end{equation*} Assuming instead that b is adjusted while τ is fixed, one obtains \begin{equation*} \frac{\partial b}{\partial \tau _{N}} = \frac{1}{\tilde{r}-\gamma }\frac{\partial }{\partial \tau _{N}}\left( \frac{\hat{R}}{\hat{Y}}\right) = \frac{1-\theta }{\tilde{r}-\gamma }>0, \end{equation*} because \begin{equation*} \tilde{r}-\gamma =(1+\gamma )\left( \frac{1}{\beta }-1\right) >0. \end{equation*} It follows that the relations between τN and τ and between τN and b are both strictly increasing and thus one to one. It is equivalent to vary τN and adjust τ (b) and to vary τ (b) and adjust τN. B.2. Consumption Tax Now, let us consider the consumption tax. Because $$\hat{Y}/H$$ and $$\hat{C}/H$$ do not depend on τN, it must be the case that \begin{equation*} \frac{\partial }{\partial \tau _{C}}\left( \frac{\hat{R}}{\hat{Y}}\right)=\frac{\hat{C}}{\hat{Y}}>0. \end{equation*} Hence, by the same line of reasoning \begin{equation*} \frac{\partial \tau }{\partial \tau _{C}} = \frac{\partial }{\partial \tau _{C}}\left(\frac{\hat{R}}{\hat{Y}}\right) =\frac{\hat{C}}{\hat{Y}}>0, \end{equation*} and \begin{equation*} \frac{\partial b}{\partial \tau _{C}} = \frac{1}{\tilde{r}-\gamma }\frac{\partial }{\partial \tau _{C}}\left( \frac{\hat{R}}{\hat{Y}}\right) = \frac{1}{\tilde{r}-\gamma }\frac{\hat{C}}{\hat{Y}}>0. \end{equation*} It follows that the relations between τC and τ and between τA and b are both strictly increasing and thus one to one. It is equivalent to vary τC and adjust τ (b) and to vary τ (b) and adjust τC. B.3. Capital Income Tax Finally, consider the capital income tax τA. Differentiating the fiscal revenues-output ratio with respect to τA yields \begin{equation*} \frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{R}}{\hat{Y}}\right) =\tau _{C}\frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{C}}{\hat{Y}}\right) +\frac{\tilde{r}}{1-\tau _{A}}\left[ \frac{1}{1-\tau _{A}}\frac{\hat{K}}{\hat{Y}} +\tau _{A}\frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{K}}{\hat{Y}}\right) \right] . \end{equation*} In turn, using the relation derived in the proof of Proposition 1, we obtain \begin{equation*} \frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{K}}{\hat{Y}}\right) =-\frac{\beta \theta (1+\gamma -\beta )}{\lbrace 1+\gamma -\beta [1-(1-\tau _{A})\delta ]\rbrace ^{2}}<0 \end{equation*} and \begin{equation*} \frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{C}}{\hat{Y}}\right) =\frac{(\gamma +\delta )\beta \theta (1+\gamma -\beta )}{\lbrace 1+\gamma -\beta [1-(1-\tau _{A})\delta ]\rbrace ^{2}}>0. \end{equation*} We thus obtain \begin{equation*} \frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{R}}{\hat{Y}}\right) =\frac{\theta (1+\gamma -\beta )[\tau _{C}\beta (\gamma +\delta )+1+\gamma -\beta (1-\delta )]}{\lbrace 1+\gamma -\beta [1-(1-\tau _{A})\delta ]\rbrace ^{2}}>0. \end{equation*} Thus, by the same line of reasoning, since \begin{equation*} \frac{\partial }{\partial \tau _{A}}\left( \frac{\hat{R}}{\hat{Y}}\right) =(\tilde{r}-\gamma )\frac{\partial b}{\partial \tau _{A}}=\frac{\partial \tau }{\partial \tau _{A}}, \end{equation*} it follows that the relations between τA and τ and between τA and b are both strictly increasing and thus one to one. It is equivalent to vary τA and adjust τ (b) and to vary τ (b) and adjust τA. B.4. Summing Up For each i ∈ {N, A, C}, we found that there exists a one-to-one relationship between τ and τi and between b and τi. Thus, the Laffer curve obtained by varying τi and letting τ (b) adjust coincides with the conditional Laffer curve obtained by varying τ (b) and letting τi adjust. By Proposition 1, we thus obtain that in an RA setup, the steady-state conditional Laffer curves coincide exactly. Appendix C: Additional Results on the Laffer Curves Associated with Capital Income and Consumption Taxes Figure C.1. View largeDownload slide Aggregate variables—Laffer curve on τA conditional on τ. Aggregate variables as τA is varied and the transfer-output ratio τ is adjusted. The black dotted line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.1. View largeDownload slide Aggregate variables—Laffer curve on τA conditional on τ. Aggregate variables as τA is varied and the transfer-output ratio τ is adjusted. The black dotted line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.2. View largeDownload slide Aggregate variables—Laffer curve on τA conditional on b. Aggregate variables as τA is varied and the debt-output ratio b is adjusted. The plain black line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.2. View largeDownload slide Aggregate variables—Laffer curve on τA conditional on b. Aggregate variables as τA is varied and the debt-output ratio b is adjusted. The plain black line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.3. View largeDownload slide Aggregate variables—Laffer curve on τC conditional on τ. Aggregate variables as τC is varied and the transfer-output ratio τ is adjusted. The black dotted line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.3. View largeDownload slide Aggregate variables—Laffer curve on τC conditional on τ. Aggregate variables as τC is varied and the transfer-output ratio τ is adjusted. The black dotted line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.4. View largeDownload slide Aggregate variables—Laffer curve on τC conditional on b. Aggregate variables as τC is varied and the debt-output ratio b is adjusted. The plain black line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Figure C.4. View largeDownload slide Aggregate variables—Laffer curve on τC conditional on b. Aggregate variables as τC is varied and the debt-output ratio b is adjusted. The plain black line corresponds to the IM economy, and the dashed gray line corresponds to the RA economy. Acknowledgments We would like to thank the editor, C. Michelacci, four anonymous referees, as well as F. Alvarez, C. Cahn, J.-C. Conessa, R. Crino, M. Doepke, C. Hellwig, S. Kankanamge, D. Krueger, E. McGrattan, E. Mendoza, J. Montornes, K. Moran, G. Moscarini, B. Neiman, X. Ragot, T. Sargent, H. Ulhig, and the participants of several conferences for their useful comments and suggestions. The views expressed herein are those of the authors and should under no circumstances be interpreted as reflecting those of the Banque de France. Notes The editor in charge of this paper was Claudio Michelacci. Footnotes 1 In other words, given a change in distortionary taxes, the resulting allocation does not depend on transfers and/or public debt, which is just Ricardian equivalence at play. 2 Using the recent international guidelines of the System of National Accounts (SNA) or the European System of Accounts (ESA), Piketty and Zucman (2014) put together a new macrohistorical data set on wealth and income, including government wealth and its components. See http://piketty.pse.ens.fr/files/PikettyZucman2013Book.pdf for an exhaustive exposition on the data construction. 3 This specification yields equivalent results to one in which utility would be a function of the nonnormalized level of consumption and $$Z_t^{1-\sigma }$$ would appear as a scaling factor in front of labor disutility. Benhabib and Farmer (2000) argue that this specification is a reduced-form for technical progress in home production. 4 The transition Q has the following interpretation: for all $$s\in \mathcal {S}$$ and for all $$\mathcal {S}_{0}\in \mathscr {S}$$, where $$\mathscr {S}$$ denotes the Borel subsets of $$\mathcal {S}$$, $$Q(s,\mathcal {S}_{0})$$ is the probability that next period's individual state lies in $$\mathcal {S}_{0}$$ when current state is s. 5 $${\hat{a}}_{M}$$ is selected so that the decision rule on assets for an individual with the highest productivity and highest discount factor crosses the 45-degree line below $${\hat{a}}_{M}$$. 6 Recall that g is constant in all our experiments. 7 Further details are reported in the Online Appendix. 8 In a Aiyagari (1994)-like model with an endogenous labor supply, the outer loop on N would not be necessary. In our setup, because we also need to balance the government budget constraint, this extra loop is needed. See the Online Appendix for further details. 9 One can show that this happens whenever consumption and leisure are normal goods. 10 It is important at this stage to emphasize that the odd shape of the Laffer curve conditional on debt has nothing to do with pathological behavior of the labor supply. In particular, the Online Appendix reports that efficient hours are a decreasing function of $$\hat{B}$$ that closely mimic the behavior of hours worked in an RA setup. 11 The figures reporting how key aggregate variables vary with τ and b are reported in Appendix C. 12 The figures reporting how key aggregate variables vary with τ and b are reported in Appendix C. References Aiyagari Rao S. , McGrattan Ellen R. ( 1998 ). “The Optimum Quantity of Debt.” Journal of Monetary Economics , 42 , 447 – 469 . Google Scholar CrossRef Search ADS Aiyagari Rao S. ( 1994 ). “Uninsured Idiosyncratic Risk and Aggregate Saving.” Quarterly Journal of Economics , 109 , 659 – 684 . Google Scholar CrossRef Search ADS Alonso-Ortiz Jorge , Rogerson Richard ( 2010 ). “Taxes, Transfers and Employment in an Incomplete Markets Model.” Journal of Monetary Economics , 57 , 949 – 958 . Google Scholar CrossRef Search ADS Barillas Francisco , Fernandez-Villaverde Jesus ( 2007 ). “A Generalization of the Endogenous Grid Method.” Journal of Economic Dynamics and Control , 31 , 2698 – 2712 . Google Scholar CrossRef Search ADS Benhabib Jess , Farmer Roger E. A. ( 2000 ). “The Monetary Transmission Mechanism.” Review of Economic Dynamics , 3 , 523 – 550 . Google Scholar CrossRef Search ADS Carroll Christopher D. ( 2006 ). “The Method of Endogenous Gridpoints for Solving Dynamic Stochastic Optimization Problems.” Economics Letters , 91 , 312 – 320 . Google Scholar CrossRef Search ADS D’Erasmo Pablo Mendoza Enrique G. Zhang Jing ( 2016 ). “What is a Sustainable Public Debt?” In Handbook of Macroeconomics , Vol. 2, edited by Taylor John B. Uhlig Harald , pp. 2493 – 2597 . Díaz-Gímenez Javier , Glover Andy , Ríos-Rull José-Victor ( 2011 ). “Facts on the Distribution of Earnings, Income, and Wealth in the United States: 2007 Update.” Quarterly Review, Federal Reserve Bank of Minneapolis , 34 , 2 – 31 . Flodén Martin ( 2001 ). “The Effectiveness of Government Debt and Transfers as Insurance.” Journal of Monetary Economics , 48 , 81 – 108 . Google Scholar CrossRef Search ADS Flodén Martin , Lindé Jesper ( 2001 ). “Idiosyncratic Risk in the United States and Sweden: Is There a Role for Government Insurance?” Review of Economic Dynamics , 4 , 406 – 437 . Google Scholar CrossRef Search ADS Guner Nezih , Lopez Daneri Martin , Ventura Gustavo ( 2016 ). “Heterogeneity and Government Revenues: Higher Taxes at the Top?” Journal of Monetary Economics , 80 , 69 – 85 . Google Scholar CrossRef Search ADS Holter Hans A. Krueger Dirk Stepanchuk Serhiy ( 2014 ). “How Does Tax Progressivity and Household Heterogeneity Affect Laffer Curves?” Working Papers 20688, NBER . Kaplan Greg ( 2012 ). “Inequality and the Life Cycle.” Quantitative Economics , 3 , 471 – 525 . Google Scholar CrossRef Search ADS Kindermann Fabian Krueger Dirk ( 2014 ). “High Marginal Tax Rates on the Top 1%? Lessons from a Life-Cycle Model with Idiosyncratic Income Risk.” Working Paper 20601, NBER . Kopecky Sharon A. , Suen Richard M. H. ( 2010 ). “Finite State Markov-chain Approximation to Highly Persistent Processes.” Review of Economic Dynamics , 13 , 701 – 714 . Google Scholar CrossRef Search ADS Ljungqvist Lars , Sargent Thomas J. ( 2008 ). “Taxes, Benefits, and Careers: Complete Versus Incomplete Markets.” Journal of Monetary Economics , 55 , 98 – 125 . Google Scholar CrossRef Search ADS Mendoza Enrique G. , Razin Assaf , Tesar Linda L. ( 1994 ). “Effective Tax Rates in Macroeconomics: Cross-country Estimates of Tax Rates on Factor Incomes and Consumption.” Journal of Monetary Economics , 34 , 297 – 323 . Google Scholar CrossRef Search ADS Oh Hyunseung , Reis Ricardo ( 2012 ). “Targeted Transfers and the Fiscal Response to the Great Recession.” Journal of Monetary Economics , 59 , S50 – S64 . Google Scholar CrossRef Search ADS Piketty Thomas , Zucman Gabriel ( 2014 ). “Capital is Back: Wealth-Income Ratios in Rich Countries, 1700-2010.” The Quarterly Journal of Economics , 129 , 1255 – 1310 . Google Scholar CrossRef Search ADS Prescott Edward C. ( 2004 ). “Why do Americans Work So Much More Than Europeans?” Quarterly Review, Federal Reserve Bank of Minneapolis , 28 , 2 – 13 . Ríos-Rull José-Víctor. ( 1999 ). “Computation of Equilibria in Heterogeneous-agent Models.” In Computational Methods for the Study of Dynamic Economies , edited by Marimon Ramon Scott Andrew . Oxford . Google Scholar CrossRef Search ADS Röhrs Sigrid , Winter Christoph ( 2015 ). “Public Versus Private Provision of Liquidity: Is There a Trade-Off?” Journal of Economic Dynamics and Control , 53 , 314 – 339 . Google Scholar CrossRef Search ADS Rouwenhorst K. G. ( 1995 ). “Asset Pricing Implications of Equilibrium Business Cycle Models.” In Frontiers of Business Cycle Research , edited by Cooley Thomas , Princeton University Press , pp. 294 – 330 . Trabandt Mathias , Uhlig Harald ( 2011 ). “The Laffer Curve Revisited.” Journal of Monetary Economics , 58 , 305 – 327 . Google Scholar CrossRef Search ADS Trabandt Mathias Uhlig Harald ( 2012 ). “How Do Laffer Curves Differ across Countries?” In Fiscal Policy after the Financial Crisis , edited by Alberto Alesina and Fracesco Giavazzi,University of Chicago Press, pp. 211 – 249 . © The Authors 2017. Published by Oxford University Press on behalf of European Economic Association. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices)

Journal of the European Economic Association – Oxford University Press

**Published: ** Sep 22, 2017

Loading...

personal research library

It’s your single place to instantly

**discover** and **read** the research

that matters to you.

Enjoy **affordable access** to

over 18 million articles from more than

**15,000 peer-reviewed journals**.

All for just $49/month

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Read from thousands of the leading scholarly journals from *SpringerNature*, *Elsevier*, *Wiley-Blackwell*, *Oxford University Press* and more.

All the latest content is available, no embargo periods.

## “Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”

Daniel C.

## “Whoa! It’s like Spotify but for academic articles.”

@Phil_Robichaud

## “I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”

@deepthiw

## “My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”

@JoseServera

DeepDyve ## Freelancer | DeepDyve ## Pro | |
---|---|---|

Price | FREE | $49/month |

Save searches from | ||

Create lists to | ||

Export lists, citations | ||

Read DeepDyve articles | Abstract access only | Unlimited access to over |

20 pages / month | ||

PDF Discount | 20% off | |

Read and print from thousands of top scholarly journals.

System error. Please try again!

or

By signing up, you agree to DeepDyve’s Terms of Service and Privacy Policy.

Already have an account? Log in

Bookmark this article. You can see your Bookmarks on your DeepDyve Library.

To save an article, **log in** first, or **sign up** for a DeepDyve account if you don’t already have one.

All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.

ok to continue