Forecasting industrial production in the Euro areaBodo, Giorgio; Golinelli, Roberto; Parigi, Giuseppe
doi: 10.1007/s001810000032pmid: N/A
The creation of the Euro area has increased the importance of obtaining timely information about short-term changes in the area's real activity. In this paper we propose a number of alternative short term forecasting models, ranging from simple ARIMA models to more complex cointegrated VAR and conditional models, to forecast the index of industrial production in the euro area. A conditional error-correction model in which the aggregate index of industrial production for the area is explained by the US industrial production index and the business confidence index from the European Commission harmonised survey on manufacturing firms achieves the best score in terms of forecasting capacity.
What color are commodity prices? A fractal analysisCromwell, J. B.; Labys, W. C.; Kouassi, E.
doi: 10.1007/s001810000033pmid: N/A
Commodity price behavior holds much interest not only because these markets are affected by waves of speculative activity similar to security markets but more so that these commodities are linked to industries which purchase them and developing country producers which supply them. Commodity spot and future prices have thus been studied extensively. This research extends this work by employing recent fractal approaches to evaluate how the apparent random movements associated with short term behavior can also persist when examining long run behavior. We thus test for the presence of a persistent and finite variance component (i.e. long memory stationary process) as opposed to an infinite variance component (i.e. short memory nonstationary process) in a selected group of international commodity price series. Both fractal and persistent dependence hypotheses and test statistics have been employed. Estimates made of the power law exponent and of the nonintegral or fractional exponent suggest generating processes which are closer to black noise than to white, pink or brown noise.
The demand for money in AustriaHayo, Bernd
doi: 10.1007/s001810000035pmid: N/A
In this paper, the demand for real money M1, M2, and M3 is estimated for Austria over the time period 1965–96. The modelling takes place within the framework of a small vector autoregression. To estimate the demand for money, two-equation error-correction models are constructed, which contain the short-run dynamics and the long-run economic equilibrium. It is found that a stable money demand exists for all monetary aggregates. The long-run equilibrium of M1, after accounting for a structural break in 1979, can be characterised as a classical type of money demand, with no interest rate effects and an elasticity of one for real GDP. In the case of M2 and M3, we find a unit coefficient on income and a significantly negative influence of a long-term interest rate. The statistical properties of the estimated short-run money demand equations – considering in-sample and out-of-sample tests – are generally very good.
Is there a Laffer curve between aggregate output and public sector employment?Koskela, Erkki; Virén, Matti
doi: 10.1007/s001810000036pmid: N/A
This paper develops a model of the relationship between public sector employment, total output and aggregate real demand in market prices, where public employment has a positive productivity effect on private output. Public employment crowds out private employment and output because its increase induces higher wages and taxes. The valuation of government output is also taken into account. While public employment affects total output and aggregate real demand in an a priori ambiguous way, numerical simulations suggest that the relationship may be nonlinear; positive, when public sector is “small” and negative, when it is “large”. Using the annual data from 22 OECD countries over the period 1960–1996 and estimating and testing for threshold models and more commonly used specifications with multiplicative interaction terms give support to this nonlinearity hypothesis between public employment and private sector output.
Efficiency of labour use in the Swedish banking industry: a stochastic frontier approachBattese, George E.; Heshmati, Almas; Hjalmarsson, Lennart
doi: 10.1007/s001810000037pmid: N/A
The purpose of this paper is to analyse the impact of the deregulation of the Swedish banking industry in the mid-1980s, and the consequent banking crisis, on productive efficiency and productivity growth in the industry. An unbalanced panel of Swedish banks is studied over the period, 1984 to 1995. A total of 1275 observations are analysed for 156 banks that were observed for between two and twelve years. We adopt a translog stochastic frontier model to estimate the labour-use requirements in terms of the variables, loans, deposits, guarantees, number of branches and total inventories, together with the year of observation. The inefficiency effects in the labour-use frontier are modelled in terms of the number of branches, total inventories, the type of bank and year of observation. The technical inefficiencies of labour use of Swedish banks were found to be significant, with mean inefficiencies per year estimated to be between about 8 and 15 per cent over the years of study. However, the confidence interval predictions for these inefficiencies were found to be quite wide.
On moment condition failure in German stock returns: an application of recent advances in extreme value statisticsLux, Thomas
doi: 10.1007/s001810000038pmid: N/A
This note reconsiders divergent results on the extremal behaviour of German stock returns that have been published recently. In particular, investigations of this issue have arrived at different conclusions regarding the finiteness of the second moment of the return distributions. Here we apply some newly developed, improved techniques for the estimation of the so-called tail index to the time series of returns on various German stocks. We find evidence indicating that in the vast majority of cases the tails are not fat enough to conform with an infinite-variance distribution. Conflicting results in previous studies are shown to be due to different a priori choices of the size of the tail region.
Peaks or tails – What distinguishes financial data?Krämer, Walter; Runde, Ralf
doi: 10.1007/s001810000041pmid: N/A
We argue against the view that it is mostly the peaks of the empirical densities of stock returns (and of other risky returns as well) that set such data aside from “normal” variables. We show that peaks depend on sample size and on the way returns are standardized, and that for given data sets of stock returns, both higher peaks and lower peaks than in a standard normal case can be obtained.
Recruitment channel use and applicant arrival: An empirical analysisRusso, Giovanni; Rietveld, Piet; Nijkamp, Peter; Gorter, Cees
doi: 10.1007/s001810000042pmid: N/A
This paper focuses on the recruitment behaviour of firms at the extensive margin; we empirically explore the relationship between employer search strategies and the number of applicants by means of (reduced form) two-equations simultaneous models. The empirical analysis is carried out on a rich micro data set on Dutch employer recruitment behaviour. Our empirical analysis reveals that the economic conditions prevailing on the labour market influence employer search activity at the extensive margin. In particular, we see that in tight (slack) labour markets characterised by excess demand (supply) of labour, the flow of applicants is smaller (larger). Employers react to the shortage (excess) of applicants by using more (less) often advertisements. This recruitment channel appears to trigger a significantly larger flow of applicants.
Spell durations and the impact of censoringNolan, Michael A.
doi: 10.1007/s001810000046pmid: N/A
A grouped hazard approach for analysing multiple-spell durations subject to censoring is applied to spells of absence from the workplace. We follow Barmby, Orme and Treble's (1991) procedure for dealing with unobserved heterogeneity, but argue that their treatment of the observed discrete data, and the inherent censoring, is inappropriate and could lead to significant overestimation of duration dependence.