Nonparametric efficiency analysis has become a widely applied technique to support industrial benchmarking as well as a variety of incentive- based regulation policies. In practice such exercises are often plagued by incomplete knowledge about the correct specifications of inputs and outputs....

In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the parametric component which are asymptotically normal and converge at parametric rate. However, smoothing can inflate the error in the normal approximation, so that refined approximations are of...

This paper studies robustness of bootstrap inference methods for instrumental variable (IV)regression models. We consider test statistics for parameter hypotheses based on the IV estimatorand generalized method of trimmed moments (GMTM) estimator introduced by Cížek (2008, 2009),and compare...

We propose a new method of testing stochastic dominance which improves onexisting tests based on bootstrap or subsampling. Our test requires estimation ofthe contact sets between the marginal distributions. Our tests have asymptoticsizes that are exactly equal to the nominal level uniformly over...

We focus on the statics and dynamics of poverty in Spain using data from the first eight waves of the European Community Household Panel from 1994 to 2001, a period not sufficiently covered by recent literature. The results confirm the pattern of poverty changes noted by other authors for the...

The purpose of this paper is to obtain by combining two longitudinal perspectives a more detailed national picture of poverty in the Member States of the European Union, using the _rst four waves (1994 - 1997) of the European Community Household Panel (ECHP). In addition to this detailed...