Analyzing an Active Labor Market Program in Germany: A Regional Approach An Attempt to Use Propensity Score Matching for the Estimation of Causal Effects on the Level of Counties and Independent Cities

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Published: Jan 31, 2009
DOI: https://doi.org/10.56645/jmde.v6i11.196
Keywords:
active labor market policy, regional labor market program, propensity score matching, observational studies, macro level, potential outcome approach, counterfactuals

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Tim Stegmann
Institute for Work, Skills and Training (IAQ), University of Duisburg-Essen, Germany

Abstract

The Institute for Work, Skills and Training was assigned to evaluate a labor market program aimed at the integration of long-term unemployed individuals aged 50 or older. The integration should have been achieved not only by training and coaching of individuals, but also by building regional networks between labor market stakeholders within a region. To appraise the success of the action undertaken on the regional level in the sense of causal effects, an observational study was used. The experimental- and control-groups were built using propensity score matching. The matching was done using not individual-level data, but data on the regional level because of missing individual data and the aims of the program. The mean growth of the number of employees subject to social insurance contributions over time was chosen as the outcome of the program. The findings are that observational studies are suitable to estimate the causal effects of active labor market programs on the regional (macro) level if individual data are missing or if the aims of the program cannot be observed on the individual level.

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How to Cite
Stegmann, T. (2009). Analyzing an Active Labor Market Program in Germany: A Regional Approach: An Attempt to Use Propensity Score Matching for the Estimation of Causal Effects on the Level of Counties and Independent Cities. Journal of MultiDisciplinary Evaluation, 6(11), 56–70. https://doi.org/10.56645/jmde.v6i11.196
Issue
Vol. 6 No. 11 (2009)
Section
Research on Evaluation Articles
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References

Abadie, A. & Imbens, G. W. (2006). On the failure of the bootstrap for matching estimators. National Bureau of Economic Research Technical Working Paper 325. Retrieved December 21, 2008 from http://www.nber.org/papers/t0325

https://doi.org/10.3386/t0325 DOI: https://doi.org/10.3386/t0325

Arntz, M., & Wilke, R. A. (2008). Unemployment duration in Germany: Individual and regional determinants of local job finding, migration and subsidized employment. Regional Studies, 1-19, Retrieved December 11, 2008, from http://www.informaworld.com/10.1080/00343400701654145

https://doi.org/10.1080/00343400701654145 DOI: https://doi.org/10.1080/00343400701654145

Brixy, U., & Christensen, B. (2002). Wie viel würden Arbeitslose für einen Arbeitsplatz in Kauf nehmen?, IAB Kurzbericht, 25. Nürnberg: Institut für Arbeitsmarkt- und Berufsforschung.

Bundesministerium für Arbeit und Soziales (2006). Die Wirksamkeit moderner Dienstleistungen am Arbeitsmarkt. Bericht 2006 des Bundesministeriums für Arbeit und Soziales zur Wirkung der Umsetzung der Vorschläge der Kommission Moderne Dienstleistungen am Arbeitsmarkt (ohne Grundsicherung für Arbeitsuchende). Kurzfassung der Ergebnisse. Retreived December 21, 2008, from http://www.bmas.de/coremedia/generator/3042/property=pdf/hartz__bericht__kurzfassung.pdf

Caliendo, M. (2006). Microeconometric evaluation of labor market policies. Berlin: Springer.

Cochran, W. G., & Rubin, D. B. (1973). Controlling bias in observational studies: A review. Sankhya A, 35, 417-446.

Cramer, U. & Koller, M. (1988). Gewinne und Verluste von Arbeitsplätzen in Betrieben - der "Job-Turnover"-Ansatz, Mitteilungen aus der Arbeitsmarkt- und Berufsforschung 1988-3, Nürnberg: Institut für Arbenitsmarkt- und Berufsforschung

Elhorst, J. P. (2003). The mystery of regional unemployment differentials: Theoretical and empirical explanations, Journal of Economic Surveys, 17(5), 709-748.

https://doi.org/10.1046/j.1467-6419.2003.00211.x DOI: https://doi.org/10.1046/j.1467-6419.2003.00211.x

Erlinghagen, M. & Knuth, M. (2002). Auf der Suche nach dem "Turbo-Arbeitsmarkt," Graue Reihe 2002-03. Gelsenkirchen: Institut Arbeit und Technik.

https://doi.org/10.1007/978-3-322-80588-1_5 DOI: https://doi.org/10.1007/978-3-322-80588-1_5

Gangl, M. & DiPrete, T. A. (2004). Kausalanalyse durch Matchingverfahren. In A. Dieckmann, Methoden der Sozialforschung, Wiesbaden (pp. 396-420). VS Verlag für Sozialwissenschaften.

Girma, S., & Paton, D. (2006). Matching estimates of the impact of over-the-counter emergency birth control on teenage pregnancy, Health Economics, 15(9), 1021- 1032.

https://doi.org/10.1002/hec.1129 DOI: https://doi.org/10.1002/hec.1129

Hujer, R., Blien, U., Caliendo, M., & Zeiss, C. (2002). Macroeconometric evaluation of active labour market policies in Germany: A dynamic panel approach using regional data. Discussion Paper No. 916. Bonn: Institute for the Study of Labour.

https://doi.org/10.2139/ssrn.343920 DOI: https://doi.org/10.2139/ssrn.343920

Kaltenborn, B., Knerr, P., & Schiwarov, J. (2006). Hartz: Arbeitsmarktreformen auf dem Prüfstand. Blickpunkt Arbeit und Wirtschaft, 3. Retrieved December, 17, 2008, from http://www.wipol.de/download/blick punkt200603.pdf

Leuven, E. & Sianesi, B. (2003), PSMATCH2: STATA module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing, Version 1.2.3. Retrieved December, 11, 2008, from http://ideas.repec.org/c/boc/bocode/s432001.html

Millimet, D. L., & List, J. A. (2004). The case of the missing pollution haven hypothesis, Journal of Regulatory Economics, 26(3), 239- 262.

https://doi.org/10.1007/s11149-004-7550-7 DOI: https://doi.org/10.1007/s11149-004-7550-7

Organisation for Economic Co-operation and Development. (1996). Employment outlook 1996. Paris: Author.

Park, A., Wang, S., & Wu, G. (2002). Regional poverty targeting in China. Journal of Public Economics, 86, 123-153

https://doi.org/10.1016/S0047-2727(01)00108-6 DOI: https://doi.org/10.1016/S0047-2727(01)00108-6

Rosenbaum, P. R.(2001). Observational studies. New York: Springer.

https://doi.org/10.1007/978-1-4757-3692-2 DOI: https://doi.org/10.1007/978-1-4757-3692-2

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects, Biometrika, 70, 41-55

https://doi.org/10.1093/biomet/70.1.41 DOI: https://doi.org/10.1093/biomet/70.1.41

Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39, 33-38.

https://doi.org/10.1080/00031305.1985.10479383 DOI: https://doi.org/10.1080/00031305.1985.10479383

van der Laan, L. (1992). Structural determinants of spatial labour markets: A case study of The Netherlands. Regional Studies, 26(5), 485- 498.

https://doi.org/10.1080/00343409212331347131 DOI: https://doi.org/10.1080/00343409212331347131