This study demonstrates that a stochastic frontier approach applied to regional level data offers a convenient and interesting method to examine how regional differences in matching efficiency and structural factors contribute to aggregate unemployment. The study reveals notable and temporally...

The study shows that a stochastic frontier approach applied to regional level data offers a convenient and interesting method to examine how regional differences in matching efficiency and structural factors contribute to aggregate unemployment. The study finds notable and time-wise stable...

In this paper we apply a stochastic frontier approach to examine how matching inefficiencies and regional disparities in structural factors contribute to regional and aggregate unemployment. Our results suggest that there would be a substantial decline in aggregate unemployment if (i) all local...

The study shows that a stochastic frontier approach applied to regional level data offers a convenient and interesting method to examine how regional differences in matching efficiency and structural factors contribute to aggregate unemployment. The study finds notable and time-wise stable...

The literature evaluating active labour market programmes concentrates on the subsequent labour market performance of the unemployed work force that has undergone training or has spent a certain period in a subsidised job. The effects of programmes on firms have rarely been evaluated. Here we...

The present paper examines whether subsidised jobs have contributed to the employment in subsidised firms or merely substituted for non-subsidised ones. The data set is an unbalanced panel of some 31,000 firms that are followed annually between 1995 and 2002. The analysis is based on...

This paper investigates the effects of business subsidies on the employment of firms in Finland, and explores possible regional differences in the effects. Employment of some 26,000 firms is followed annually between 1995-1998. We find that labour subsidies increase the firms' own employment...