In panel stochastic frontier models, the Fixed Effects (FE) approach produces biased technical efficiency scores when time-invariant variables are important in the production process, and the Random Effects (RE) approach imposes distributional assumptions about the inefficiency. Moreover, technical efficiency scores obtained from these models are biased when the sample contains a large number o...

This paper investigates the determinants of Spanish vertical intra-industry trade with a large sample of countries. We empirically test the comparative advantage explanation. To this aim, we build physical, human and technological capital stocks. On average, that is using OLS techniques, differences in endowments are a limitation for vertical intra-industry trade. Using quantile regressions tec...

This paper measures the productivity impact of shop-floor employee involvement. On the basis of a representative German establishment data set, the study finds that the introduction of team-work and autonomous work groups, and a reduction of hierarchies in 1996/97 significantly increased average establishment productivity in 1997 – 2000. The estimation strategy controls for unobserved invariant...

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with countryspecific fixed effects in order to simultaneously address model uncertainty and endogeneity issues. The empirical findi...

The consensus of the aid effectiveness literature is that foreign aid is effective at spurring economic growth in recipient countries. However, economic growth is heterogeneous in nature, driven by a number of different activities within an economy. This paper contributes to the literature by disaggregating the Gross Domestic Product of recipients in order to investigate the type of economic gr...

This paper considers the estimation of average autoregressive roots-near-unity in panels where the time-series have heterogenous local-to-unity parameters. The pooled estimator is shown to have a potentially severe bias and a robust median based procedure is proposed instead. This median estimator has a small asymptotic bias that can be eliminated almost completely by a bias correction procedur...

We use panel probit models with unobserved heterogeneity and serially correlated errors in order to analyze the determinants and the dynamics of current-account reversals for a panel of developing and emerging countries. The likelihood evaluation of these models requires high-dimensional integration for which we use a generic procedure known as Efficient Importance Sampling (EIS). Our empirical...

This paper investigates the effects of services offshoring on wages using individual level data combined with industry information on offshoring. Our results show that services offshoring affects the real wage of low and medium skilled individuals negatively. By contrast, skilled workers benefit from services offshoring in terms of higher real wages. Hence, offshoring has contributed to a widen...

In this paper a formal model of the productivity dynamics of manufacturing industries is developed with key features being the absence of optimal decisions and equilibrium coordination, heterogeneity of industries with respect to their innovative ability and cumulativeness of innovations together with the working of spillover effects. From that model the law of motion of the productivity distri...

We discuss a class of copula-based ordered probit models with endogenous switching. Such models can be useful for the analysis of self-selection in subjective well-being equations in general, and job satisfaction in particular, where assignment of regressors may be endogenous rather than random, resulting from individual maximization of well-being. In an application to public and private sector...