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Empirical Matching Functions: Estimation and Interpretation Using Disaggregate Data

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  • Patricia M. Anderson
  • Simon M. Burgess

Abstract

In this paper, we estimate matching functions using disaggregate data. We find strong support for the matching approach, with most specifications implying slightly increasing returns to scale. This finding does not appear to arise from our inclusion of additional controls or from the level of disaggregation, and so we conclude that earlier findings of constant returns in the US may be due to the various approximations needed to construct an aggregate time series. We also find evidence of endogenous job competition between the employed and nonemployed, so that the estimated parameters from a matching function cannot be interpreted as structural parameters.

Suggested Citation

  • Patricia M. Anderson & Simon M. Burgess, 1995. "Empirical Matching Functions: Estimation and Interpretation Using Disaggregate Data," NBER Working Papers 5001, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:5001
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    References listed on IDEAS

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    10. Patricia M. Anderson & Bruce D. Meyer, 1994. "The Extent and Consequences of Job Turnover," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(1994 Micr), pages 177-248.
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    Citations

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    Cited by:

    1. Aki Kangasharju & Jaakko Pehkonen & Sari Pekkala, 2003. "Matching in thin labour markets: panel data evidence from Finland, 1991-2002," ERSA conference papers ersa03p208, European Regional Science Association.
    2. Profit, Stefan, 1997. "Twin peaks in regional unemployment and returns to scale in job-matching in the Czech Republic," SFB 373 Discussion Papers 1997,63, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Stefan Profit, 1998. "Twin peaks in regional unemployment and returns to scale in job-matching in the Czech Republic," ERSA conference papers ersa98p42, European Regional Science Association.
    4. Burda, Michael C. & Profit, Stefan, 1996. "Matching across space: Evidence on mobility in the Czech Republic," Labour Economics, Elsevier, vol. 3(3), pages 255-278, October.
    5. Eran Yashiv, 2000. "The Determinants of Equilibrium Unemployment," American Economic Review, American Economic Association, vol. 90(5), pages 1297-1322, December.
    6. Burgess, Simon & Turon, Hélène, 2000. "Unemployment Dynamics, Duration and Equilibrium: Evidence from Britain," CEPR Discussion Papers 2490, C.E.P.R. Discussion Papers.
    7. repec:ebl:ecbull:v:10:y:2008:i:11:p:1-12 is not listed on IDEAS
    8. Michela Ponzo, 2012. "On-the-job Search in Italian Labor Markets: An Empirical Analysis," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(2), pages 213-232, July.
    9. Rolando Einar Paz Rodriguez, 2019. "La función de emparejamiento agregada del mercado laboral chileno," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(1), pages 85-110, April.
    10. Ottaviano, Gianmarco & Monfort, Philippe, 2002. "Spatial Mismatch and Skill Accumulation," CEPR Discussion Papers 3324, C.E.P.R. Discussion Papers.
    11. Martin Robson, 2006. "Sectoral shifts, employment specialization and the efficiency of matching: An analysis using UK regional data," Regional Studies, Taylor & Francis Journals, vol. 40(7), pages 743-754.
    12. Eriksson, Stefan & Stadin, Karolina, 2011. "The Determinants of Hiring in Local Labor Markets: The Role of Demand and Supply Factors," Working Paper Series 2011:19, Uppsala University, Department of Economics.
    13. Jukka Petteri Lahtonen & Sanna-Mari Hynninen, 2005. "Does population density matter in the matching process of heterogeneous job seekers and vacancies?," ERSA conference papers ersa05p438, European Regional Science Association.

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    More about this item

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

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