Dieser Artikel beschäftigt sich mit dem Konvergenzprozess in der Europäischen Union. Der Schwerpunkt liegt dabei auf der Periode nach der Osterweiterung 2004-2007. Somit wird eine detaillierte Untersuchung vorgenommen und es werden nicht nur wirtschaftliche, sondern auch institutionelle...

Research for evidence on offshoring activities and its driving forces has been done by analyzing gross trade flows related to offshoring using gravity equations augmented by ad hoc measures of supply-side country differences. We develop a specification grounded in incomplete specialization that...

We examine time-varying stock market comovements in Central Europe employing the asymmetric dynamic conditional correlation multivariate GARCH model. Using daily data from 2001 to 2011, we find that the correlations among stock markets in Central Europe and between Central Europe vis-a-vis the...

This paper examines the relationship between capital and liquidity creation. This issue is of interest to determine the potential impact of tighter capital requirements such as those involved in Basel III reforms on liquidity creation. We perform Granger-causality tests in a dynamic GMM panel...

Economic theory suggests that an extension of the maximum length of entitlement for unemployment benefits increases the duration of unemployment. Empirical results for the reform of the unemployment compensation system in Germany during the 1980s are less clear. The analysis in this paper is...

An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that generalize ordered probit are compared to regression models that generalize...

For vectors x and w, let r(x,w) be a function that can be nonparametrically estimated consistently and asymptotically normally. We provide consistent, asymptotically normal estimators for the functions g and h, where r(x,w) = h[g(x),w], g is linearly homogeneous and h is monotonic in g. This...

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing non stochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series non...

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...