IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/12023.html
   My bibliography  Save this paper

Benchmarking regions: Estimating the counterfactual distribution of labor market outcomes

Author

Listed:
  • Fitzenberger, Bernd
  • Furdas, Marina

Abstract

This paper develops and implements a new benchmarking approach for labor market regions. Based on panel data for regions, we use nonparametric matching techniques to account for observed labor market characteristics and for spatial proximity. As the benchmark, we estimate the counterfactual distribution of labor market outcomes for a region based on outcomes of similar regions. This allows to measure both the rank (relative performance) and the absolute performance based on the actual outcome for a region. Our outcome variable of interest is the hiring rate among the unemployed. We implement different similarity measures to account for differences in labor market conditions and spatial proximity, and we choose the tuning parameters in our matching approach based on a cross-validation procedure. The results show that both observed labor market characteristics and spatial proximity are important features to successfully match regions. Specifically, the modified Zhao (2004) distance measure and geographic distance in logs work best in our applications. Our estimated performance measures remain quite stable over time.

Suggested Citation

  • Fitzenberger, Bernd & Furdas, Marina, 2012. "Benchmarking regions: Estimating the counterfactual distribution of labor market outcomes," ZEW Discussion Papers 12-023, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:12023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/57185/1/690110170.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. Moretti, Enrico, 2011. "Local Labor Markets," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 14, pages 1237-1313, Elsevier.
    3. Pekka Ilmakunnas & Hanna Pesola, 2003. "Regional Labour Market Matching Functions and Efficiency Analysis," LABOUR, CEIS, vol. 17(3), pages 413-437, September.
    4. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    5. Aomar IBOURK & Béatrice MAILLARD & Serge PERELMAN & Henri R. SNEESSENS, 2001. "Aggregate Matching Efficiency : A Stochastic Production Frontier Approach, France 1990-1994," LIDAM Discussion Papers IRES 2001034, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    6. Rene Fahr & Uwe Sunde, 2006. "Regional dependencies in job creation: an efficiency analysis for Western Germany," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1193-1206.
    7. Oliver Jean Blanchard & Peter Diamond, 1989. "The Beveridge Curve," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 1-76.
    8. Jacobi, Lena & Kluve, Jochen, 2007. "Before and after the Hartz reforms: The performance of active labour market policy in Germany," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 40(1), pages 45-64.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    11. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    12. Aomar Ibourk & Bénédicte Maillard & Sergio Perelman & Henri Sneessens, 2004. "Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990–1994," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(1), pages 1-25, March.
    13. Jacobi, Lena & Kluve, Jochen, 2007. "Before and after the Hartz reforms: The performance of active labour market policy in Germany," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 40(1), pages 45-64.
    14. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    15. Jacobi, Lena & Kluve, Jochen, 2007. "Before and after the Hartz reforms: The performance of active labour market policy in Germany," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 40(1), pages 45-64.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dyballa, Katharina & Kraft, Kornelius, 2020. "(In)Efficiency of Employment Offices: A Study on Welfare Benefits Determination – Is There a Trade-off between Time Saving Case Management and Quality of Decisions?," IZA Discussion Papers 13399, Institute of Labor Economics (IZA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abid, Anis Bou & Drine, Imed, 2011. "Efficiency frontier and matching process on the labour market: Evidence from Tunisia," Economic Modelling, Elsevier, vol. 28(3), pages 1131-1139, May.
    2. Sanna-Mari Hynninen & Aki Kangasharju & Jaakko Pehkonen, 2006. "Regional Matching Frictions and Aggregate Unemployment," ERSA conference papers ersa06p416, European Regional Science Association.
    3. Baños, José F. & Rodríguez-Álvarez, Ana & Suárez, Patricia, 2016. "Matching frontiers: A random parameter model approach," Efficiency Series Papers 2016/07, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    4. Sergio Destefanis & Raquel Fonseca, 2006. "Labour-Market Reforms and the Beveridge Curve. Some Macro Evidence for Italy," CSEF Working Papers 168, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Sanna‐Mari Hynninen & Aki Kangasharju & Jaakko Pehkonen, 2009. "Matching Inefficiencies, Regional Disparities, and Unemployment," LABOUR, CEIS, vol. 23(3), pages 481-506, September.
    6. Launov, Andrey & Wälde, Klaus, 2016. "The employment effect of reforming a public employment agency," European Economic Review, Elsevier, vol. 84(C), pages 140-164.
    7. Michael Weber, 2016. "The short-run and long-run effects of decentralizing public employment services," ifo Working Paper Series 209, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Kraft, Kornelius & Lammers, Alexander, 2021. "The Effects of Reforming a Federal Employment Agency on Labor Demand," IZA Discussion Papers 14629, Institute of Labor Economics (IZA).
    9. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.
    10. Sabine Klinger & Thomas Rothe, 2012. "The Impact of Labour Market Reforms and Economic Performance on the Matching of the Short‐term and the Long‐term Unemployed," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(1), pages 90-114, February.
    11. Klinger, Sabine & Weber, Enzo, 2014. "Decomposing Beveridge curve dynamics by correlated unobserved components: The impact of labour market reforms in Germany," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100499, Verein für Socialpolitik / German Economic Association.
    12. Sergio Destefanis & Raquel Fonseca, 2006. "Labour-Market Reforms and the Beveridge Curve. Some Macro Evidence for Italy," CSEF Working Papers 168, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    13. Lechner, Michael & Wunsch, Conny & Huber, Martin & Walter, Thomas, 2009. "Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work?," CEPR Discussion Papers 7238, C.E.P.R. Discussion Papers.
    14. Anna Batyra & David de la Croix & Olivier Pierrard & Henri Sneessens, 2016. "Structural changes in the labor market and the rise of early retirement in Europe," LIDAM Discussion Papers IRES 2016022, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    15. Carrillo-Tudela, Carlos & Launov, Andrey & Robin, Jean-Marc, 2021. "The fall in german unemployment: A flow analysis," European Economic Review, Elsevier, vol. 132(C).
    16. Bauer, Anja, 2013. "Mismatch unemployment : evidence from Germany 2000-2010," IAB-Discussion Paper 201310, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Caliendo, Marco & Künn, Steffen & Schmidl, Ricarda, 2011. "Fighting Youth Unemployment: The Effects of Active Labor Market Policies," IZA Discussion Papers 6222, Institute of Labor Economics (IZA).
    18. Kosfeld Reinhold, 2007. "Regional Spillovers and Spatial Heterogeneity in Matching Workers and Employers in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 236-253, June.
    19. Ambra Poggi, 2019. "Regional labour markets in Spain: Can flexibility and local democracy reduce inefficiencies?," Papers in Regional Science, Wiley Blackwell, vol. 98(3), pages 1499-1516, June.
    20. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.

    More about this item

    Keywords

    matching function; regional employment offices; performance measurement; nonparametric matching; conditional quantile positions;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:12023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.