This paper makes two contributions to the empirical matching literature. First, a recent study by Anderson and Burgess (2000) testing for endogenous competition among job seekers in a matching frame-work, is replicated with a richer and more accurate data set for Germany. Their results are...

This paper deals with empirical matching functions. The paper is innovative in several ways. First, unlike in most of the existing literature, matching functions are estimated not only on aggregate, but also on disaggregate levels which is unusual due to the scarcity of appropriate data....

Each year Germany and many other developed economies spend tens of billions of Euros on active measures of employment promotion with the explicit aim of contributing to the reduction of unemployment. Yet, high unemployment has universally been a persistent problem throughout the last two...

By applying a stochastic production frontier approach to the matching process of unemployed and vacancies, this paper provides novel detailed insights into the process of job creation. For different labor markets as defined by occupation and region, the methodology produces estimates of the...

The ultimate aim of opinion surveys is the provision of information on the distribution of preferences and perceptions at the individual level. Yet, eliciting this information from the data is typically difficult. This paper uses a structural model to explain the answers on a set of questions...

Ergänzend zu den Beiträgen im ifo Schnelldienst 6/2008 stellen Ronald Bachmann, Thomas K. Bauer, Jochen Kluve und Christoph M. Schmidt, Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI) Essen, erste Ergebnisse einer Unternehmensbefragung zu den Auswirkungen des Postmindestlohns...

Olaf Scholz, Bundesminister für Arbeit und Soziales, erläutert die Politik der Regierung und unterstreicht die Relevanz der Sozialpartnerschaft: "Der gemeinsame Einsatz für Arbeit von Bundesregierung, Arbeitgebern und Gewerkschaften wirkt und verhindert Schlimmeres. Das zeigt: Wir können mit...