We analyse the duration of unemployment spells in Poland using data from the Polish Labour Force Survey of August 1994. The effects on the duration of unemployment of important socio-economic and demographic characteristics are explored besides the impacts of the unemployment benefit system and...

Unemployment duration data derived from retrospective surveys often show an abnormal concentration of responses at certain durations. This common kind of measurement error is known as "heaping" in the statistical literature. Although heaping effects may lead to severe biases in estimated...

We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...

We analyze the duration of the patent examination process at the EuropeanPatent Office (EPO). Our data contain information related to the patent’seconomic and technical relevance, EPO capacity and workload as well as novelcitation measures which are derived from the EPO’s search reports. In...

We exploit a large reform of capital-gains taxation in Germany combined with portfolio-level daily panel data to study the causal effect of taxes on individual stock-trading behavior and the disposition effect. We find substantial spikes in selling probabilities around an intertemporal tax...

Governmental activities in welfare states influence private charitable giving predominantly in two ways: (1) government spending on the provision of public goods may cause crowding out of private charitable contributions; and (2) tax incentives may boost private charitable giving. For a rich...

By using estimates from an Almost Ideal Demand System (AIDS), we investigate how the German energy tax on car fuels changes the private households-CO2 emissions, living standards, and post-tax income distribution. Our results show that the tax implies a trade-off between the aim to reduce...

We propose a Bayesian approach to dynamic panel estimation in the presence of cross-sectional dependence and dynamic heterogeneity which is suitable for inference in short panels, unlike alternative estimators. Monte Carlo simulations indicate that our estimator produces less bias, and a lower...

This paper suggests a causal framework for disentangling individual level treatment effects and interference effects, i.e., general equilibrium, spillover, or interaction effects related to treatment distribution. Thus, the framework allows for a relaxation of the Stable Unit Treatment Value...

In this article we develop a theoretical model to explain the homicide rate in any given place and construct a Bayesian model with a spatial structure to test the hypotheses. We assume that in his quest for self-fulfilment the individual, when taking the decision to perpetrate violence, not only...