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The Use Of Propensity Score-Matching Methods In Evaluation Of Active Labour Market Programs In Serbia

Author

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  • Kosovka Ognjenović

Abstract

The aim of the paper is to evaluate impacts of active labour market measures in Serbia on the probability of the participants’ employment. In the estimation process of average treatment effects, propensity score-matching method was applied. Its use has considerably reduced the bias in evaluation of the average treatment effects, induced by systematic differences between samples of those who participated in the active labour market programmes and those who did not. The estimated impacts of active labour market programmes on the probability of employment were found to be both positive and statistically significant.

Suggested Citation

  • Kosovka Ognjenović, 2007. "The Use Of Propensity Score-Matching Methods In Evaluation Of Active Labour Market Programs In Serbia," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 52(172), pages 21-54, January -.
    • Handle: RePEc:beo:journl:v:52:y:2007:i:172:p:21-54
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    File URL: http://ea.ekof.bg.ac.rs/pdf/172/1_2%20Ognjenovic.pdf
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    Cited by:

    1. World Bank, 2016. "Women's Access to Economic Opportunities in Serbia," World Bank Publications - Reports 25183, The World Bank Group.

    More about this item

    Keywords

    Active Policy Effects; Propensity Score; Matching Estimators; Nonexperimental Evaluation; Labour Market in Serbia;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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