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Macroeconomic Impacts of ALMP on the Matching Process in West Germany


  • Hujer, Reinhard

    () (Goethe University Frankfurt)

  • Zeiss, Christopher

    () (Goethe University Frankfurt)


This paper investigates the macroeconomic effects of job creation schemes and vocational training on the matching processes in West Germany. The empirical analysis is based on regional data for local employment office districts for the period from 1999 to 2003. The empirical model relies on a dynamic version of a matching function augmented by ALMP. In order to obtain consistent estimates in the presence of a dynamic panel data model, a firstdifferences GMM estimator and a transformed maximum likelihood estimator are applied. Furthermore the paper considers the endogeneity problem of the policy measures. The results obtained from our estimates indicate that vocational training does not significantly affect the matching process and that job creation schemes have a negative effect.

Suggested Citation

  • Hujer, Reinhard & Zeiss, Christopher, 2003. "Macroeconomic Impacts of ALMP on the Matching Process in West Germany," IZA Discussion Papers 915, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp915

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    References listed on IDEAS

    1. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
    2. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173, June.
    3. Boeri, Tito & Burda, Michael C., 1996. "Active labor market policies, job matching and the Czech miracle," European Economic Review, Elsevier, vol. 40(3-5), pages 805-817, April.
    4. Calmfors, Lars & Skedinger, Per, 1995. "Does Active Labour-Market Policy Increase Employment? Theoretical Considerations and Some Empirical Evidence from Sweden," Oxford Review of Economic Policy, Oxford University Press, vol. 11(1), pages 91-109, Spring.
    5. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    6. Hujer, Reinhard & Caliendo, Marco & Thomsen, Stephan L., 2004. "New evidence on the effects of job creation schemes in Germany--a matching approach with threefold heterogeneity," Research in Economics, Elsevier, vol. 58(4), pages 257-302, December.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Stephen Bond & Frank Windmeijer, 2002. "Finite sample inference for GMM estimators in linear panel data models," CeMMAP working papers CWP04/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Calmfors, Lars & Forslund, Anders & Hemström, Maria, 2002. "Does Active Labour Market Policy Work? Lessons from the Swedish Experiences," Seminar Papers 700, Stockholm University, Institute for International Economic Studies.
    10. Hagen, Tobias, 2003. "Three Approaches to the Evaluation of Active Labour Market Policy in East Germany Using Regional Data," ZEW Discussion Papers 03-27, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    11. Holmlund, Bertil & Linden, Johan, 1993. "Job matching, temporary public employment, and equilibrium unemployment," Journal of Public Economics, Elsevier, vol. 51(3), pages 329-343, July.
    12. repec:hhs:iuiwop:429 is not listed on IDEAS
    13. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    14. Reinhard Hujer & Uwe Blien & Marco Caliendo & Christopher Zeiss, 2006. "Macroeconometric Evaluation of Active Labour Market Policies in Germany. A Dynamic Panel Approach Using Regional Data," AIEL Series in Labour Economics,in: Floro Ernesto Caroleo & Sergio Destefanis (ed.), The European Labour Market. Regional Dimensions, edition 1, chapter 14, pages 287-309 AIEL - Associazione Italiana Economisti del Lavoro.
    15. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    16. Lehmann,Hartmut, 1995. "Active labor market policies in the OECD and in selected transition economies," Policy Research Working Paper Series 1502, The World Bank.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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    Cited by:

    1. M. Agovino & A. Rapposelli, 2017. "Speculation on a Flexicurity Index for Disabled People: The Italian Case," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 389-414, January.
    2. Heyer, Gerd & Koch, Susanne & Stephan, Gesine & Wolff, Joachim, 2011. "Evaluation der aktiven Arbeitsmarktpolitik: Ein Sachstandsbericht für die Instrumentenreform 2011 (Evaluation of active labor market programs : a summary of recent results for the German program refor," IAB Discussion Paper 201117, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Sabine Engelmann & Beate Schirwitz & Marcel Thum, 2009. "Erstellung von Unbedenklichkeitsbescheinigungen im Bereich der öffentlich geförderten Beschäftigung," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 47, June.
    4. repec:aka:aoecon:v:67:y:2017:i:3:p:333-357 is not listed on IDEAS
    5. Wapler, Rüdiger & Werner, Daniel & Wolf, Katja, 2014. "Active labour-market policies in Germany : do regional labour markets benefit?," IAB Discussion Paper 201428, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Fertig, Michael & Jacobi, Lena & Kluve, Jochen & Schaffner, Sandra & Schmidt, Christoph M. & Schumacher, Peter Michael & Tamm, Marcus & Apel, Helmut & Friedrich, Werner & Hägele, Helmut & Buscher, Her, 2006. "Evaluation der Umsetzung der Vorschläge der Hartz-Kommission. Arbeitspaket 1, Modul 1f. Teil 2: Benchmarking und makroökonomische Analysen," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 70876.
    7. Massimiliano Agovino & Agnese Rapposelli, 2017. "Macroeconomic impact of flexicurity on the integration of people with disabilities into the labour market. A two-regime spatial autoregressive analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 307-334, January.

    More about this item


    matching function; dynamic panel data model; Active Labour Market Policy; search models;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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