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Macroeconomic Effects of Short-Term Training Measures on the Matching Process in Western Germany

  • Hujer, Reinhard

    ()

    (Goethe University Frankfurt)

  • Zeiss, Christopher

    ()

    (Goethe University Frankfurt)

Registered author(s):

    This paper investigates the macroeconomic effects of short term training measures on the matching processes in West Germany. The empirical analysis is based on regional data for local employment office districts for the period from January 2003 to December 2004. The empirical model relies on a dynamic version of a matching function augmented by short term training measures. In order to obtain consistent estimates in the presence of a dynamic panel data model and endogenous regressors, GMM estimation methods are applied.

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    File URL: http://ftp.iza.org/dp2489.pdf
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    Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2489.

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    Length: 20 pages
    Date of creation: Dec 2006
    Date of revision:
    Handle: RePEc:iza:izadps:dp2489
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    1. Steve 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.
    2. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
    3. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
    4. Lehmann, Hartmut, 1995. "Active labor market policies in the OECD and in selected transition economies," Policy Research Working Paper Series 1502, The World Bank.
    5. Petrongolo, Barbara & Pissarides, Christopher, 2000. "Looking Into The Black Box: A Survey Of The Matching Function," CEPR Discussion Papers 2409, C.E.P.R. Discussion Papers.
    6. Calmfors, L. & Skedinger, P., 1995. "Does Active Labour Market Policy Increase Employment? - Theoretical Considerations and Some Empirical Evidence from Sweden," Papers 590, Stockholm - International Economic Studies.
    7. T. Boeri & M. C. Burda, 1995. "Active Labor Market Policies, Job Matching and the Czech Miracle," SFB 373 Discussion Papers 1995,76, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    8. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
    9. Richard Blundell & Steve 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.
    10. 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.
    11. Layard, Richard & Nickell, Stephen & Jackman, Richard, 1991. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780198284345, March.
    12. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
    13. Hujer, Reinhard & Thomsen, Stephan L. & Zeiss, Christopher, 2006. "The effects of short-term training measures on the individual unemployment duration in West Germany," ZEW Discussion Papers 06-65, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    14. Frank Windmeijer, 2000. "A finite sample correction for the variance of linear two-step GMM estimators," IFS Working Papers W00/19, Institute for Fiscal Studies.
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