Does time difference between countries reduce bilateral trade? An application of the correlated random effects method using panel data

This article implements the correlated random effects (CRE) panel data technique in a gravity framework to analyse the effect of time difference between countries on bilateral trade. One major advantage of the CRE approach over the fixed-effects approach is that it is able to estimate the effect of variables that remain unchanged within panel clusters (e.g. time difference between countries), while these variables get dropped from regressions that use fixed-effects methods. Regression results based on the CRE Poisson pseudo-maximum likelihood estimator indicate statistically significant negative effect of time difference between countries on bilateral trade. An additional hour of time difference between countries is found to reduce bilateral merchandise exports by approximately 8%, even after controlling for the effect of distance in the regressions.     

A fast estimation procedure for discrete choice random coefficients demand model

We document speed-up gains of graphical processing unit (GPU) computing over central processing unit (CPU) for the estimation of discrete choice random coefficient demand model. When we use a moderate-sized GPU, the computation is six to twenty times faster, where the smallest speed-up factor, six, is obtained from a comparison with the parallel computing over sixteen CPU cores.     

Subjective well-being and the family: Results from an ordered probit model with multiple random effects

The previous literature on the determinants of individual well-being has failed to fully account for the interdependencies in well-being at the family level. This paper develops an ordered probit model with multiple random effects that allows to identify the intra-family correlation in well-being. The parameters of the model can be estimated with panel data using Maximum Marginal Likelihood. The approach is illustrated in an application using data for the period 1984–1997 from the German Socio-Economic Panel in which both inter-generational and intra-marriage correlations in well-being are estimated.First version received: May 2003/Final version received: August 2004I would like to thank Andrew Clark, Daniel S. Hamermesh, seminar participants at Tilburg University, and three anonymous referees for helpful comments.     

Purchasing power parity vs. uncovered interest rate parity for NAFTA countries: The value of incorporating time-varying parameter model

In 1994, the United States, Canada, and Mexico signed the North American Free Trade Agreement (NAFTA) to strengthen economic cooperation. To examine the effects of the NAFTA, this study revisits Purchasing Power Parity (PPP) for NAFTA countries by applying a time-varying cointegration model. Under the time-varying assumption, it improves the explanatory power of reality via the model specification test. Given that, the validity of PPP for NAFTA countries varies over time. Especially, the PPP elasticity based on the consumer price index (CPI) is more volatile than the producer price index (PPI) -based. Thus, the stabilization policy of the consumption sector must be a high priority over the production sector. Moreover, the validity of the Uncovered Interest Rate Parity (UIRP) is examined by the time-varying cointegration model. The aim is to compare the results of the PPP and UIRP. This suggests that the PPP is more useful than the UIRP in evaluating the movement of the exchange rate in the long-run.