We consider the potential influence of contributions from interest groups to political rivals in the voting behavior of US legislators on international trade policy issues. Our application addresses the determinants of the Permanent Normal Trade Relations with China decision, and focuses...

This paper analyzes the determinants of annual worker reallocation across disaggregated occupations in western Germany for the period 1985-2003. Employing data from the German Socio-Economic Panel, the pattern of average occupational mobility is documented. Worker reallocation is found to be...

The financial crisis of 2008/2009 has left European economies with a sizeable public debt stock bringing back the question what factors help to reduce these fiscal imbalances. Using data for the period 1985-2009 this paper identifies factors determining major public debt reductions. On average,...

This paper analyzes the determinants of annual worker reallocation across disaggregated occupations in western Germany for the period 1985-2003. Employing data from the German Socio-Economic Panel, the pattern of average occupational mobility is documented. Worker reallocation is found to be...

The financial crisis of 2008/2009 has left European economies with a sizeable public debt stock bringing back the question what factors help to reduce these fiscal imbalances. Using data for the period 1985-2009 this paper identifies factors determining major public debt reductions. On average,...

This paper analyzes the determinants of annual worker reallocation across disaggregated occupations in western Germany for the period 1985-2003. Employing data from the German Socio-Economic Panel, the pattern of average occupational mobility is documented. Worker reallocation is found to be...

The estimation of conditional probability distribution functions (PDFs) in a kernel nonparametric framework has recently received attention. As emphasized by Hall, Racine and Li (2004), these conditional PDFs are extremely useful for a range of tasks including modelling and predicting consumer...

The estimation of conditional probability distribution functions (PDFs) in a kernel nonparametric framework has recently received attention. As emphasized by Hall, Racine and Li (2004), these conditional PDFs are extremely useful for a range of tasks including modelling and predicting consumer...