This empirical paper wants to analyze determinants for regional differences in German unemployment rates using a spatial panel model. The analysis of regional differences is of particular interest in the German case due to its specific history. Twenty-two years after German reunification, there...

Focus is on efficient estimation of a dynamic space-time panel data model that incorporates spatial dependence, temporal dependence, as well as space-time covariance and can be implemented in large N and T situations, where N is the number of spatial units and T the number of time periods....

Many questions in urban and regional economics can be characterized as including both a spatial and a time dimension. However, often one of these dimensions is neglected in empirical work. This paper highlights the danger of methodological inertia, investigating the effect of neglecting the...

Count data regressions are an important tool for empirical analyses ranging from analyses of patent counts to measures of health and unemployment. Along with negative binomial, Poisson panel regressions are a preferred method of analysis because the Poisson conditional fixed effects maximum...

In this paper a new method to estimate the equivalence scale elasticity using individual panel data on income satisfaction will be developed. In contrast to other subjective approaches, the present one benefits from the fact that no direct cardinal individual welfare function has to be...

In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their performance in Monte Carlo simulations. It is a well known fact that the natural choice, the least squares dummy variable estimator is biased in the context of dynamic estimation. The...

In the 1997 and 1998 waves of the British Household Panel Survey, workers are asked to assess their level of job security in terms of the probability of becoming unemployed within the next year. We examine whether these perceptions of insecurity are purely subjective or are systematically...

This paper tests the predictive value of subjective labour supply data for adjustments in working hours over time. The idea is that if subjective labour supply data help to predict next year's working hours, such data must contain at least some information on individual labour supply...