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doi: 10.1007/s00181-017-1253-2pmid: N/A
We show that when outcomes are difficult to forecast in the sense that forecast errors have a large common component that (a) optimal weights are not affected by this common component, and may well be far from equal to each other but (b) the relative mean square error loss from averaging over optimal combination can be small. Hence, researchers could well estimate combining weights that indicate that correlations could be exploited for better forecasts only to find that the difference in terms of loss is negligible. The results then provide an additional explanation for the commonly encountered practical situation of the averaging of forecasts being difficult to improve upon.
Rossi, Barbara; Sekhposyan, Tatevik
doi: 10.1007/s00181-017-1248-zpmid: N/A
This paper introduces the Rossi and Sekhposyan (Am Econ Rev 105(5): 650–655, 2015) uncertainty index for the Euro Area and its member countries. The index captures how unexpected a forecast error associated with a realization of a macroeconomic variable is relative to the unconditional distribution of forecast errors. Furthermore, it can differentiate between upside and downside uncertainty, which could be relevant for addressing a variety of economic questions. The index is particularly useful since it can be constructed for any country/variable for which point forecasts and realizations are available. We show the usefulness of the index in studying the heterogeneity of uncertainty across Euro Area countries as well as the spillover effects via a network approach.
doi: 10.1007/s00181-016-1200-7pmid: N/A
This paper analyzes the procedures that have previously been used to evaluate indicators. These methods determine whether the indicator correctly classifies periods when there was (not) a recession. These approaches do not show whether or not an indicator signaled a turn or failed to predict it. This paper then presents a new approach and applies it to the term spread series. The results are mixed because the indicator predicts every recession but also generates a large number of false signals. This result may explain why economists do not always place great weight on this series.
Chernis, Tony; Sekkel, Rodrigo
doi: 10.1007/s00181-017-1254-1pmid: N/A
This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. The model is then used to generate nowcasts, predictions of the recent past and current state of the economy. In a pseudo-real-time setting, we show that the DFM outperforms univariate benchmarks, as well as other commonly used nowcasting models, such as MIDAS and bridge regressions.
doi: 10.1007/s00181-017-1228-3pmid: N/A
Ensemble methods can be used to construct a forecast distribution from a collection of point forecasts. They are used extensively in meteorology, but have received little direct attention in economics. In a real-time analysis of the ECB’s Survey of Professional Forecasters, we compare ensemble methods to histogram-based forecast distributions of GDP growth and inflation in the Euro Area. We find that ensembles perform very similarly to histograms, while being simpler to handle in practice. Given the wide availability of surveys that collect point forecasts but not histograms, these results suggest that ensembles deserve further investigation in economics.
Colangelo, A.; Giannone, D.; Lenza, M.; Pill, H.; Reichlin, L.
doi: 10.1007/s00181-016-1221-2pmid: N/A
This paper analyses bank balance sheet data in conjunction with macroeconomic and other financial variables. Our aim is to understand the nature of the instability in financial intermediation in the euro area during the recent financial crises. We define “large changes” as significant departures in the actual evolution of balance sheet variables during the crisis from their historical association with the business and financial cycles. In the course of the global 2008–2009 financial crisis, such “large changes” were features of the behaviour of cross-border inter-bank flows, both within the euro area and between the euro area and the rest of the world. By contrast, retail assets and liabilities, as well as inter-bank flows among banks of the same country, did not significantly deviate from historical regularities. Since the euro area sovereign crisis of 2011–2012, “large changes” have been more pervasive. In particular, a significant home bias in the sovereign bond market has emerged.
doi: 10.1007/s00181-017-1251-4pmid: N/A
We propose conduct parameter-based market power measures within a model of price discrimination, extending work by Hazledine (Econ Lett 93:413–420, 2006) and Kutlu (Econ Lett 117:540–543, 2012) to certain forms of second-degree price discrimination. We use our model to estimate the market power of US airlines in a price discrimination environment. We find that a slightly modified version of our original theoretical measure is positively related to market concentration. Moreover, on average, market power for high-end segment is greater than that of low-end segment.
Banerjee, Anurag; Banik, Nilanjan; Dalmia, Ashvika
doi: 10.1007/s00181-017-1250-5pmid: N/A
India has the highest number of people defecating in the open, and the Indian Government is trying to eradicate by constructing toilets for its citizens. This paper is about whether the government is likely to succeed in its cleanliness drive mission by a supply-side policy. We examine the household preference and other the factors leading to open defecation in India. We examine preference for having a toilet in the household over the preference of other household durable goods. Our results suggest toilets get a lower preference—ranked 12, out of 21 different types of consumer durables we investigate. The results also indicate a strong case for imparting education and public awareness, especially, among the female cohort. We find the odds of having toilets in a household with an educated woman (18 years of schooling) is 3.1 times more than a household with illiterate or preschool educated women. Among other factors households living in urban areas are 19 times more likely to have toilets in comparison with their rural counterparts.
doi: 10.1007/s00181-017-1230-9pmid: N/A
We investigate the impact of an uncertain number of false individual null hypotheses on commonly used p value combination methods. Under such uncertainty, these methods perform quite differently and often yield conflicting results. Consequently, we develop a combination of “combinations of p values” (CCP) test aimed at maintaining good power properties across such uncertainty. The CCP test is based on a simple union–intersection principle that exploits the weak correspondence between two underlying p value combination methods. Monte Carlo simulations show that the CCP test controls size and closely tracks the power of the best individual methods. We empirically apply the CCP test to explore the stationarity in real exchange rates and the information rigidity in inflation and output growth forecasts.
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