This paper compares different versions of the simulated counterparts of the Wald test, the score test, and the likelihood ratio test in the multiperiod multinomial probit model. Monte Carlo experiments show that the simple form of the simulated likelihood ratio test delivers the most favorable...

Does heterogeneity in the educational backgrounds of the founders matter for firm success? Are team foundations more successful than single entrepreneurs? These questions are analysed using data on academic spinoffs in Germany. Firm success is measured by employment growth. I find that team...

In this paper it is tested which of the various alternative approaches for constructing knowledge spillover pools suggested in existing literature measures the extent to which a firm can costlessly receive external knowlegde best. Since knowledge spillovers are unmeasurable, a 'goodness of fit'...

Academic spin-offs are one way in which employability of university graduates is reflected. Using the ZEW spinoff-survey, this paper studies empirically the impact of human capital on the success of academic spinoffs founding in knowledge and technology intensive sectors. The focus is thereby on...

Current political discussions in Germany and other European countries illustrate the importance accorded to revenue and distribution effects of tax reforms. Whereas widely recognized concepts of effective tax measures can provide important insights into the incentives of taxation they do not...

We use a multivariate hazard model for the analysis of data on the timing of ratifications of different conventions. The model accounts for two random effects, one at the country level and the other at the convention level. We use a semi-parametric Bayesian approach, based on the partial...

Current political discussions in Germany and other European countries illustrate the importance accorded to revenue and distribution effects of tax reforms. Whereas widely recognized concepts of effective tax measures can provide important insights into the incentives of taxation they do not...

Sensitivity analysis studies how the variation in the numerical output of a model can be quantitatively apportioned to different sources of variation in basic input parameters. Thus, it serves to examine the robustness of numerical results with respect to input parameters, which is a...

In the paper we describe in detail how to build linked CGE-microsimulation models (using fictitious data) following three main approaches: one in accordance with the fully integrated approach and the other two according to the layered approach – the so-called Top-Down and Top-Down/Bottom-Up...