IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa03p208.html
   My bibliography  Save this paper

Matching in thin labour markets: panel data evidence from Finland, 1991-2002

Author

Listed:
  • Aki Kangasharju
  • Jaakko Pehkonen
  • Sari Pekkala

Abstract

The matching function that postulates a relationship between the flow of new matches and stock of job seekers and vacancies has attracted considerable attention, both theoretical and empirical during the last decade. In this paper the properties of a matching function are examined by using a large panel data set from Finland. The data has a high frequency and it is highly disaggregated, comprising monthly data on 174 work-to-travel areas from a 12-year period between January 1991 and August 2002. We test for density effects, i.e. the importance of the size of markets on matching efficiency. The robustness and importance of our empirical findings are guaranteed by the quality of data. First the data allows us to model matching functions for two different measures of endogenous variables, namely total matches and total outflow from unemployment. Second, we can measure job seekers by their origin, i.e. whether they are unemployed, employed or outside of the labour force. We can thus construct matching models where the measure of job matches and the pool of job searchers are consistent with each other. Third, the data includes information on the composition of the registered job seekers, including age, sex and the share of short- and long-term unemployment. These controls provide interesting information on possible differences in matching rates by these groups.

Suggested Citation

  • 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.
  • Handle: RePEc:wiw:wiwrsa:ersa03p208
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa03/cdrom/papers/208.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Burda, Michael & Wyplosz, Charles, 1994. "Gross worker and job flows in Europe," European Economic Review, Elsevier, vol. 38(6), pages 1287-1315, June.
    2. Daniel Munich & Jan Svejnar & Katherine Terrell, 1998. "Worker-Firm Matching and Unemployment in Transition to a Market Economy: (Why) Were the Czechs More Successful than Others?," William Davidson Institute Working Papers Series 107, William Davidson Institute at the University of Michigan.
    3. 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.
    4. Olivier Jean Blanchard & Peter Diamond, 1994. "Ranking, Unemployment Duration, and Wages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(3), pages 417-434.
    5. Burgess, Simon & Profit, Stefan, 2001. "Externalities in the matching of workers and firms in ritain," Labour Economics, Elsevier, vol. 8(3), pages 313-333, June.
    6. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173, December.
    7. Karen Mumford & Peter N. Smith, 1999. "The Hiring Function Reconsidered: on Closing the Circle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(3), pages 343-364, August.
    8. Cees Gorter & Jan van Ours, 1994. "Matching Unemployment And Vacancies In Regional Labor Markets: An Empirical Analysis For The Netherlands," Papers in Regional Science, Wiley Blackwell, vol. 73(2), pages 153-167, April.
    9. Pekka Ilmakunnas & Hanna Pesola, 2003. "Regional Labour Market Matching Functions and Efficiency Analysis," LABOUR, CEIS, vol. 17(3), pages 413-437, September.
    10. Lourens Broersma, 1997. "Competition between employed and unemployed job searchers: is there a difference between the UK and The Netherlands?," Applied Economics Letters, Taylor & Francis Journals, vol. 4(3), pages 199-203.
    11. repec:bla:econom:v:63:y:1996:i:252:p:589-97 is not listed on IDEAS
    12. Gregg, P & Petrongolo, B, 1997. "Random or Non-Random Matching? Implications for the Use of the UV Curve as a Measure of Matching Performance," Papers 13, Centre for Economic Performance & Institute of Economics.
    13. van Ours, J. C. & Burdett, K. & Coles, M., 1994. "Temporal Aggregation Bias in Stock-Flow Models," Other publications TiSEM 993a7da0-0d67-4900-b529-6, Tilburg University, School of Economics and Management.
    14. Burgess, Simon M., 1994. "Matching models and labour market flows," European Economic Review, Elsevier, vol. 38(3-4), pages 809-816, April.
    15. repec:bla:obuest:v:61:y:1999:i:3:p:343-64 is not listed on IDEAS
    16. Broersma, Lourens & Van Ours, Jan C., 1999. "Job searchers, job matches and the elasticity of matching," Labour Economics, Elsevier, vol. 6(1), pages 77-93, March.
    17. Coles, Melvyn G & Smith, Eric, 1994. "Cross-Section Estimation of the Matching Function: Evidence from England and Wales," CEPR Discussion Papers 966, C.E.P.R. Discussion Papers.
    18. 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.
    19. Pablo Antolín, 1994. "Unemployment flows and vacancies in Spain," Working Papers. Serie EC 1994-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    20. Paul Gregg & Barbara Petrongolo, 1997. "Random or Non-Random matching? Implications for the use of the UV 234 curve as a measure of matching effectiveness," CEP Discussion Papers dp0348, Centre for Economic Performance, LSE.
    21. Burgess, Simon M, 1993. "A Model of Competition between Unemployed and Employed Job Searchers: An Application to the Unemployment Outflow Rate in Britain," Economic Journal, Royal Economic Society, vol. 103(420), pages 1190-1204, September.
    22. Fahr, René & Sunde, Uwe, 2001. "Disaggregate Matching Functions," IZA Discussion Papers 335, Institute of Labor Economics (IZA).
    23. 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.
    Full references (including those not matched with items on IDEAS)

    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. Sanna‐Mari Hynninen & Aki Kangasharju & Jaakko Pehkonen, 2009. "Matching Inefficiencies, Regional Disparities, and Unemployment," LABOUR, CEIS, vol. 23(3), pages 481-506, September.
    2. 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.
    3. Broersma, Lourens & Van Ours, Jan C., 1999. "Job searchers, job matches and the elasticity of matching," Labour Economics, Elsevier, vol. 6(1), pages 77-93, March.
    4. Heidi Soininen, 2007. "Finnish Evidence of Changes in Labor Market Matching," Finnish Economic Papers, Finnish Economic Association, vol. 20(1), pages 57-71, Spring.
    5. Sanna-Mari Hynninen, 2005. "Labour market status of job seekers in regional matching processes," ERSA conference papers ersa05p499, European Regional Science Association.
    6. 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.
    7. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Efficiency in Spatially Disaggregated Labour Market Matching," CERGE-EI Working Papers wp575, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    8. René Fahr & Uwe Sunde, 2002. "On the Effects of Career Choice: Matching Efficiency of Different Occupations and Education Levels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B1-1, International Conferences on Panel Data.
    9. Sanna-Mari Ahtonen, 2004. "Matching across space: evidence from Finland," ERSA conference papers ersa04p205, European Regional Science Association.
    10. Yang Liu, 2011. "Labor market matching with heterogeneous job seekers in China," Economics Bulletin, AccessEcon, vol. 31(3), pages 1980-1992.
    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. Aki Kangasharju & Jaakko Pehkonen & Sari Pekkala, 2005. "Returns to scale in a matching model: evidence from disaggregated panel data," Applied Economics, Taylor & Francis Journals, vol. 37(1), pages 115-118.
    13. Karsten Albæk & Henrik Hansen, 2004. "The Rise in Danish Unemployment: Reallocation or Mismatch?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(4), pages 515-536, September.
    14. Sanna-Mari Hynninen, 2009. "Matching in local labor markets: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 31(1), pages 15-26, February.
    15. Gregg, Paul & Petrongolo, Barbara, 2005. "Stock-flow matching and the performance of the labor market," European Economic Review, Elsevier, vol. 49(8), pages 1987-2011, November.
    16. Burgess, Simon & Turon, Helene, 2000. "Unemployment dynamics, duration and equilibrium: evidence from Britain," LSE Research Online Documents on Economics 20162, London School of Economics and Political Science, LSE Library.
    17. Fahr, René & Sunde, Uwe, 2001. "Disaggregate Matching Functions," IZA Discussion Papers 335, Institute of Labor Economics (IZA).
    18. Elżbieta Antczak & Ewa Gałecka‐Burdziak & Robert Pater, 2019. "What Affects Efficiency In Labour Market Matching At Different Territorial Aggregation Levels In Poland?," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 160-179, April.
    19. Coles, Melvyn G & Petrongolo, Barbara, 2002. "A Test Between Unemployment Theories Using Matching Data," CEPR Discussion Papers 3241, C.E.P.R. Discussion Papers.
    20. 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.

    More about this item

    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:wiw:wiwrsa:ersa03p208. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.