Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990–1994

[en] We evaluate the determinants of aggregate matching efficiency changes through a stochastic translog production frontier model. The efficiency coefficient is represented by a stochastic function of variables meant to capture workers and firms characteristics. The model is estimated on French data covering twenty-two regions from March 1990 till February 1995. Our estimates suggest that aggregate matching efficiency has decreased steadily in the early nineties. There are also wide cross-regional differences. On average, about 30% of the variations of efficiency observed across time and regions can be related to changes in the explanatory variables used in the model. The most important explanatory variables are the proportion of youngsters, females and immigrants in the stock of job seekers. Long-term unemployment has a significant negative effect, population density a significant positive one. The huge decline in the proportion of permanent job offers has apparently little effect on matching efficiency.

Research Center/Unit :

CREPP - Centre de Recherche en Économie Publique et de la Population - ULiège

Disciplines :

Economic systems & public economics

Author, co-author :

Ibourk, Aomar

Maillard, Bénédicte

Perelman, Sergio ; Université de Liège - ULiège > HEC-Ecole de gestion : UER > Economie publique appliquée

Sneessens, Henri R.

Language :

English

Title :

Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990–1994

Publication date :

2004

Journal title :

Empirica

ISSN :

0340-8744

eISSN :

1573-6911

Publisher :

Springer Netherlands

Volume :

Pages :

1-25

Peer reviewed :

Peer Reviewed verified by ORBi

Funders :

FWB - Fédération Wallonie-Bruxelles
PAI

Available on ORBi :

since 17 February 2010

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