Dieser Aufsatz dient dem Versuch, ein konsistentes wirtschaftspolitisches Bewertungsverfahren zur Analyse der Leistungsfähigkeit der genossenschaftlichen Bankunternehmung zu entwickeln. Dafür wird das auf linearer Programmierung beruhende Schätzverfahren "Data Envelopment Analysis (DEA)"...

We examine the publications of authors affiliated with an economics research institution in Canada in (i) the Top-10 journals in economics according to journals' impact factors, and (ii) the 'Canadian Journal of Economics'. We consider all publications in the even years from 1980 to 2000....

Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The...

We examine the publications of authors affiliated with an economics research institution in Canada in (i) the Top-10 journals in economics according to journals? impact factors, and (ii) the Canadian Journal of Economics. We consider all publications in the even years from 1980 to 2000. Canadian...

In February 2015, the editors of eight health economics journals sent out an editorial statement which aims to reduce the extent of specification searching and reminds referees to accept studies that: "have potential scientific and publication merit regardless of whether such studies' empirical...

Inference about productivity change over time based on data envelopment (DEA) has focused primarily on the Malmquist index and is based on asymptotic properties of the index. In this paper we propose a novel set of significance tests for DEA based productivity change measures based on...

When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to be made about the returns to scale of the underlying technology. Moreover, it is often also relevant to compare the frontiers across samples of producers. Until now, no exact...

We non-parametrically test a general collective consumption model with public consumption and externalities inside the household. We further propose a novel approach to model special cases of the general collective model. These special cases include alternative restrictions on the 'sharing rule'...

This article provides a robust non-parametric approach to demand analysis based on a concept called homothetic efficiency. Homotheticity is a useful restriction or assumption but data rarely satisfy testable conditions. To overcome this problem, this article provides a way to estimate homothetic...