We review the empirical literature that studies the effect of ethnic diversity on the welfare state and on individual attitudes. The outcome variables that we cover in the survey are on the one hand public spending, and on the other hand individual attitudes and behaviour, including charity...

Diese Studie thematisiert den Gebrauch und die geeigneten Daten für die aktuelle inhaltlich ausgerichtete Forschung zur Zeitverwendung. Betrachtet werden sowohl makro- als auch mikroanalytische Ansätze. Allerdings liegt der Schwerpunkt auf mikroökonomischen Ansätzen mit den Topics:...

Empirical investigation of the labor market consequences of employment protection has mushroomed since Lazear's (1990) pioneering study. Having sketched the theoretical background, we chart the course of the modern empirical literature. We focus mainly on dismissals protection, distinguishing...

This paper provides a new perspective in classifying ALMPs depending on their main objective, also in light of their relevance and cost-effectiveness during normal times, during a crisis, and during recovery. We distinguish ALMPs that provide incentives for retaining employment, incentives for...

This contribution describes the linkage of microsimulation models and computable general equilibrium (CGE) models using two already established models called “STSM” and “PACE-L” used by the Centre for European Economic Research. This state of the art research method for applied policy...

I discuss the econometrics and the economics of past research on the effects of minimum wages on employment in the United States. My intent is to try to identify key questions raised in the recent literature, and some from the earlier literature, which I think hold the most promise for...

This paper provides a new perspective by classifying active labor market programs (ALMPs) depending on their main objectives and their relevance and cost-effectiveness during normal times, during a crisis, and during recovery. We distinguish ALMPs that provide: (i) incentives for retaining...