A NEW METHOD FOR THE ESTIMATION OF CAPACITY UTILIZATION: THEORY AND EMPIRICAL EVIDENCE FROM 14 EU COUNTRIES

In this paper, we develop a new and at the same time simple method of obtaining a measure of the rate of capacity utilization (CU) which makes use of the structural vector autoregression (SVAR) system of equation estimating technique with long‐run restrictions. The measure of CU that we derive for each of 14 EU countries replicates to a great extent the European Commission's Directorate General for Economic and Financial Affairs (ECFIN) measure. On closer examination we find that the in‐sample explanatory content with respect to the inflation rate of the SVAR measure exceeds more often than not that of the ECFIN's measure; however, the out‐of‐sample forecasting performance of the two models is approximately equivalent.     

Revising higher education policy in Greece: filling the Danaids’ Jar

The study examines the possible effects of a recent policy change in Greece on students’ graduation rates. Our study mainly concentrates on the potential impact that the reform may have on the various categories of students, as these are classified by the way they enter the university. Records for students studying at a university of economic and social studies are analyzed by employing a probit model. Our main empirical finding suggests that students from all the other modes of entry, compared to students entering by means of general examinations, face a considerably higher probability of failure.     

Decomposing the persistence of real exchange rates

We propose a new methodology for decomposing the persistence of deviations from purchasing power parity (PPP). By directly comparing the impulse response function (IRF) of a vector autoregressive (VAR) model, where the real exchange rate is Granger caused by a set of candidate variables, with the IRF of the equivalent ARMA model for the real exchange rate, we capture the effects of the Granger-causing variables on the half-life of deviations from PPP. Our empirical results for a set of 20 industrial countries suggest that on average around 50% of the persistence of real exchange rates can be attributed to nominal interest rate differentials, inflation differentials and relative business cycle position with the numenaire country. Finally, we provide confidence intervals for the contributions of the aforementioned variables to the persistence of deviations from PPP by means of Monte Carlo simulations.     

Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis

This article re-examines the long-run and short-run determinants of the aggregate residential demand for electricity in Greece using data spanning the period 1964–2006 and the recently advanced ARDL cointegrating method (Pesaran, J Appl Econ 16:289–326, 2001) that has not been hitherto applied to Greek data. The results of the ARDL method combined with the (Johansen, J Econ Dyn Control 12:231–254, 1988) cointegration method show the presence of an equilibrium relationship among the variables involved. These findings may shed new light on the contemplation of more effective energy policies with respect to electricity.     

Discounting the distant future: How much does model selection affect the certainty equivalent rate?

Recent work in evaluating investments with long‐term consequences has turned towards establishing a schedule of Declining Discount Rates (DDRs). Using US data we show that the employment of models that account for changes in the interest rate generating mechanism has important implications for operationalising a theory of DDRs that depends upon uncertainty. The policy implications of DDRs are then analysed in the context of climate change for the USA, where the use of a state space model can increase valuations by 150% compared to conventional constant discounting. Copyright © 2007 John Wiley & Sons, Ltd.     

Uncertainty in the public debt market and stochastic long-run growth

In a continuous time model, a representative household has to allocate its investment and consumption in an optimal manner under conditions of uncertainty. In the present study it is hypothesized that there are two types of assets: a risk-free and a risky asset. The risk-free asset is assumed to be the physical capital, while at the same time uncertainty is allowed to result from the exogenous random variations in the public debt market, rendering in this way government bonds to act as the risky asset. In the endogenous growth framework with productive public investment, the expected long-run growth rate, the dynamic path of consumption as well as the optimal allocation of investment between a risky and a riskless asset, are analytically derived. This kind of treatment allows us to create a locus for the long-run growth over the various levels of uncertainty. The outcome of the analysis is that a rise in uncertainty impacts negatively upon the long-run growth rate. In order to empirically assess the relationship between growth and uncertainty, we lay our emphasis on the US economy for the period 1957:1 to 2008:4. Within the framework of a bivariate BEKK–GARCH(1,1)-M model a significant negative relationship between uncertainty and economic growth has been established.     

The BDS Test as a Test for the Adequacy of a GARCH(1,1) Specification: A Monte Carlo Study

In this study we examine the widely used Brock, Dechert, andScheinkman (BDS) test when applied to the logarithm of the squaredstandardized residuals of an estimated GARCH(1,1) model as atest for the adequacy of this specification. We review the conditionsderived by De Lima (1996; Econometric Reviews 15, 237–259)for the nuisance-parameter-free property to hold and addressthe issue of their necessity, using the flexible framework offeredby the GARCH(1,1) model in terms of moment, memory, and timeheterogeneity properties. By means of Monte Carlo simulations,we show that the BDS test statistic still approximates the standardnull distribution even for mildly explosive processes that violatethe majority of the conditions. Thus the test performs reasonablywell, its empirical size being rather close to the nominal one.As a by-product of this study, we also shed light on the relatedissue of the consistency of the QML estimators of the conditionalvariance parameters under various parameter configurations andalternative distributional assumptions on the innovation process.     

Club Convergence in Carbon Dioxide Emissions

We examine convergence in carbon dioxide emissions among 128 countries for the period 1960–2003 by means of a new methodology introduced by Phillips and Sul (Econometrica 75(6):1771–1855, 2007a). Contrary to previous studies, our approach allows us to examine for evidence of club convergence, i.e. identify groups of countries that converge to different equilibria. Our results suggest convergence in per capita CO₂ emissions among all the countries under scrutiny in the early years of our sample. However, there seem to be two separate convergence clubs in the recent era that converge to different steady states. Interestingly, we also find evidence of transitioning between the two convergence clubs suggesting either a slow convergence between the two clubs or a tendency for some countries to move from one convergence club to the other.