Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies

被引：22

作者：

Froelich, Markus ^{[1
,3
,4
]}

Lechner, Michael ^{[2
,3
,5
,6
,7
]}

机构：

[1] Univ Mannheim, Dept Econ, D-6800 Mannheim 1, Germany

[2] Univ St Gallen, Swiss Inst Empir Econ Res SEW, CH-9000 St Gallen, Switzerland

[3] IZA, Bonn, Germany

[4] IFAU, Uppsala, Sweden

[5] ZEW, Mannheim, Germany

[6] CEPR, London, England

[7] PSI, London, England

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2010年 / 105卷 / 491期

基金：

瑞士国家科学基金会;

关键词：

Active labor market policy; Conditional local instrumental variable; Fuller estimator; Geographic variation; Local average treatment effect; State border; Switzerland; IDENTIFICATION; EMPLOYMENT;

D O I：

10.1198/jasa.2010.ap08148

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We estimate the effects of active labor market policies (ALMPs) on subsequent employment and earnings by nonparametric instrumental variable estimators. Very informative administrative Swiss data with detailed regional information are combined with exogenous regional variation in program participation probabilities to generate an instrument within well-defined local labor markets. We find that implementation of an ALMP increased individual employment probabilities by about 15% for unemployed that might be considered "marginal" participants.

引用

页码：1014 / 1029

页数：16

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