Benchmarking Regions: Estimating the Counterfactual Distribution of Labor Market Outcomes
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.
|Date of creation:||2012/04|
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- 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.
- 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.
- 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.
- Barbara Petrongolo & Christopher Pissarides, 2000. "Looking into the black box: a survey of the matching function," LSE Research Online Documents on Economics 2122, London School of Economics and Political Science, LSE Library.
- Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
- 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.
- Pekka Ilmakunnas & Hanna Pesola, 2003. "Regional Labour Market Matching Functions and Efficiency Analysis," LABOUR, CEIS, vol. 17(3), pages 413-437, 09.
- Fahr, René & Sunde, Uwe, 5/07.
"Regional Dependencies in Job Creation: An Efficiency Analysis for Western Germany,"
IZA Discussion Papers
1660, Institute for the Study of Labor (IZA).
- 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.
- Fahr, René & Sunde, Uwe, 2006. "Regional dependencies in job creation: An efficiency analysis for Western Germany," Munich Reprints in Economics 20484, University of Munich, Department of Economics.
- 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 & 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).
- Aomar Ibourk & BÃ©nÃ©dicte Maillard & Sergio Perelman & Henri Sneessens, 2004. "Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990â€“1994," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(1), pages 1-25, March.
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