Benchmarking Regions: Estimating the Counterfactual Distribution of Labor Market Outcomes
AbstractThis 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.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6465.
Length: 56 pages
Date of creation: Apr 2012
Date of revision:
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Other versions of this item:
- Fitzenberger, Bernd & Furdas, Marina, 2012. "Benchmarking regions: Estimating the counterfactual distribution of labor market outcomes," ZEW Discussion Papers 12-023, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-23 (All new papers)
- NEP-EFF-2012-04-23 (Efficiency & Productivity)
- NEP-LAB-2012-04-23 (Labour Economics)
- NEP-LTV-2012-04-23 (Unemployment, Inequality & Poverty)
- NEP-URE-2012-04-23 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Barbara Petrongolo & Christopher A. Pissarides, 2000. "Looking Into the Black Box: A Survey of the Matching Function," CEP Discussion Papers dp0470, Centre for Economic Performance, LSE.
- 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.
- Aomar Ibourk & BÃ©nÃ©dicte Maillard & Sergio Perelman & Henri Sneessens, 2004. "Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990â€“1994," Empirica, Springer, vol. 31(1), pages 1-25, March.
- Aomar IBOURK & Béatrice MAILLARD & Serge PERELMAN & Henri R. SNEESSENS, 2001. "Aggregate Matching Efficiency : A Stochastic Production Frontier Approach, France 1990-1994," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2001034, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- 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.
- Gong, Byeong-Ho & Sickles, Robin C., 1991. "Finite Sample Evidence on the Performance of Stochastic Frontiers and Data Envelopment Analysis Using Panel Data," Working Papers 91-12, C.V. Starr Center for Applied Economics, New York University.
- Rene Fahr & Uwe Sunde, 2006.
"Regional dependencies in job creation: an efficiency analysis for Western Germany,"
Taylor & Francis Journals, vol. 38(10), pages 1193-1206.
- Fahr, René & Sunde, Uwe, 2005. "Regional Dependencies in Job Creation: An Efficiency Analysis for Western Germany," IZA Discussion Papers 1660, Institute for the Study of Labor (IZA).
- Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
- Pekka Ilmakunnas & Hanna Pesola, 2003. "Regional Labour Market Matching Functions and Efficiency Analysis," LABOUR, CEIS, vol. 17(3), pages 413-437, 09.
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