Dynamic evaluation of job search assistance

Stephen Kastoryano; Bas van der Klaauw

doi:10.1002/jae.2866

Dynamic evaluation of job search assistance

Stephen Kastoryano^*
, Bas van der Klaauw

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

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Abstract

This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic treatment effects and identification conditions. In the empirical analysis, we use administrative data from a unique institutional environment in which we observe all variables determining assignment to the job search assistance program. This allows us to compare results from a dynamic discrete-time evaluation model and a continuous-time duration model. All approaches show that participation in the job search assistance program reduces exit rates from unemployment, in particular when starting the program early during the spell of unemployment. The discrete-time approach makes less strict parametric assumptions, but the results are sensitive to the choice of control group and the unit of time.

Original language	English
Pages (from-to)	227-241
Number of pages	15
Journal	Journal of Applied Econometrics
Volume	37
Issue number	2
DOIs	https://doi.org/10.1002/jae.2866
Publication status	Published - Mar 2022

Bibliographical note

Funding Information:
Thanks to Pierre Koning and seminar participants at the University of Tilburg, University of Zurich, University College London, University of Lausanne, Bristol University, Netherlands Bureau of Economic Policy Analyses, University of Essex, EALE/SOLE‐meeting in London, the ESWM in Shanghai, the IZA/IFAU conference on Labor Market Policy Evaluation 2010, the editor, and three anonymous reviewers for useful comments. van der Klaauw acknowledges financial support from a Vici grant from the Dutch Science Foundation (NWO).

Publisher Copyright:
© 2021 John Wiley & Sons, Ltd.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

Thanks to Pierre Koning and seminar participants at the University of Tilburg, University of Zurich, University College London, University of Lausanne, Bristol University, Netherlands Bureau of Economic Policy Analyses, University of Essex, EALE/SOLE‐meeting in London, the ESWM in Shanghai, the IZA/IFAU conference on Labor Market Policy Evaluation 2010, the editor, and three anonymous reviewers for useful comments. van der Klaauw acknowledges financial support from a Vici grant from the Dutch Science Foundation (NWO).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

dynamic treatment evaluation
labor market policy

Access to Document

10.1002/jae.2866

2021-Kastoryano_Dynamic evaluation of job search assistanceFinal published version, 941 KBLicence: Article 25fa Dutch Copyright Act

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title = "Dynamic evaluation of job search assistance",

abstract = "This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic treatment effects and identification conditions. In the empirical analysis, we use administrative data from a unique institutional environment in which we observe all variables determining assignment to the job search assistance program. This allows us to compare results from a dynamic discrete-time evaluation model and a continuous-time duration model. All approaches show that participation in the job search assistance program reduces exit rates from unemployment, in particular when starting the program early during the spell of unemployment. The discrete-time approach makes less strict parametric assumptions, but the results are sensitive to the choice of control group and the unit of time.",

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N2 - This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic treatment effects and identification conditions. In the empirical analysis, we use administrative data from a unique institutional environment in which we observe all variables determining assignment to the job search assistance program. This allows us to compare results from a dynamic discrete-time evaluation model and a continuous-time duration model. All approaches show that participation in the job search assistance program reduces exit rates from unemployment, in particular when starting the program early during the spell of unemployment. The discrete-time approach makes less strict parametric assumptions, but the results are sensitive to the choice of control group and the unit of time.

AB - This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic treatment effects and identification conditions. In the empirical analysis, we use administrative data from a unique institutional environment in which we observe all variables determining assignment to the job search assistance program. This allows us to compare results from a dynamic discrete-time evaluation model and a continuous-time duration model. All approaches show that participation in the job search assistance program reduces exit rates from unemployment, in particular when starting the program early during the spell of unemployment. The discrete-time approach makes less strict parametric assumptions, but the results are sensitive to the choice of control group and the unit of time.

KW - dynamic treatment evaluation

KW - labor market policy

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Dynamic evaluation of job search assistance

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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