IDEAS home Printed from https://ideas.repec.org/p/sgh/kaewps/2016005.html
   My bibliography  Save this paper

Randomness or stock-flow: Which mechanism describes labour market matching in Poland?

Author

Listed:
  • Ewa Galecka-Burdziak

Abstract

I compare random, stock-flow and job queuing models to determine which mechanism prevails in the Polish labour market. I use monthly registered unemployment data for the period 1999 - 2013 and econometrically correct for temporal aggregation bias in the data. I extend the known solutions to make them directly applicable to a job queuing model. I find that stocks and inflows engage in a matching process. Job seekers (from the pool) seek work among old and new job posts, but only a small fraction of the newly unemployed individuals find work instantaneously. Vacancies are the driving force in aggregate hiring, but the inflow is more important than the stock. The random model has greater explanatory power, although the results do not negate the non-random model. The random model entails the need to improve information to facilitate matching. The stock-flow model implies that policy should aim at creating more job offers.

Suggested Citation

  • Ewa Galecka-Burdziak, 2016. "Randomness or stock-flow: Which mechanism describes labour market matching in Poland?," KAE Working Papers 2016-005, Warsaw School of Economics, Collegium of Economic Analysis.
    • Handle: RePEc:sgh:kaewps:2016005
    as

    Download full text from publisher

    File URL: http://kolegia.sgh.waw.pl/pl/KAE/Documents/WorkingPapersKAE/WPKAE_2016_005.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. 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.
    3. Coles, Melvyn G. & Petrongolo, Barbara, 2002. "A test between unemployment theories using matching data," LSE Research Online Documents on Economics 5329, London School of Economics and Political Science, LSE Library.
    4. Kamil Galuscak & Daniel Munich, 2005. "Structural and Cyclical Unemployment: What Can We Derive from the Matching Function?," Working Papers 2005/02, Czech National Bank.
    5. Postel-Vinay, Fabien & Jolivet, Grégory & Borowczyk-Martins, Daniel, 2011. "Accounting For Endogenous Search Behavior in Matching Function Estimation," CEPR Discussion Papers 8471, C.E.P.R. Discussion Papers.
    6. H. Lehmann, 2012. "The Polish growth miracle: outcome of persistent reform efforts," Working Papers wp822, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. 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.
    8. Sylwia Roszkowska, 2009. "Aggregate Matching Function. The Case of Poland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(2), pages 157-177, November.
    9. Melvyn Coles & Barbara Petrongolo, 2008. "A Test Between Stock-Flow Matching And The Random Matching Function Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(4), pages 1113-1141, November.
    10. Pablo Álvarez de Toledo & Fernando Núñez & Carlos Usabiaga, 2008. "La función de emparejamiento en el mercado de trabajo español," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 16(3), pages 5-35, Winter.
    11. 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.
    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. Marcin Wozniak, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.

    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. Ewa Gałecka-Burdziak, 2012. "Labour market matching – the case of Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 43(3), pages 31-46.
    2. Ewa Gałecka-Burdziak, 2012. "Elastyczność funkcji dopasowań na rynku pracy w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 109-126.
    3. Poeschel, Friedrich, 2012. "The time trend in the matching function," IAB-Discussion Paper 201203, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Postel-Vinay, Fabien & Jolivet, Grégory & Borowczyk-Martins, Daniel, 2011. "Accounting For Endogenous Search Behavior in Matching Function Estimation," CEPR Discussion Papers 8471, C.E.P.R. Discussion Papers.
    5. Jekaterina Dmitrijeva & Mihails Hazans, 2007. "A Stock–Flow Matching Approach to Evaluation of Public Training Programme in a High Unemployment Environment," LABOUR, CEIS, vol. 21(3), pages 503-540, September.
    6. Sanna‐Mari Hynninen & Aki Kangasharju & Jaakko Pehkonen, 2009. "Matching Inefficiencies, Regional Disparities, and Unemployment," LABOUR, CEIS, vol. 23(3), pages 481-506, September.
    7. Jekaterina Dmitrijeva, 2008. "Matching and Labour Market Efficiency across Space and through EU accession: Evidence from Latvia, Estonia and Slovenia," Documents de recherche 08-05, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    8. Ewa Gałecka-Burdziak, 2016. "Underestimated or overestimated: matching function elasticities biased due to worker inflows and outflows," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 47.
    9. Masaru Sasaki & Miki Kohara & Tomohiro Machikita, 2013. "Measuring Search Frictions Using Japanese Microdata," The Japanese Economic Review, Japanese Economic Association, vol. 64(4), pages 431-451, December.
    10. Gottfries, Nils & Stadin, Karolina, 2016. "The Matching Process:Search Or Mismatch?," Working Paper Series 2016:14, Uppsala University, Department of Economics.
    11. Kamil Galuscak & Daniel Munich, 2005. "Structural and Cyclical Unemployment: What Can We Derive from the Matching Function?," Working Papers 2005/02, Czech National Bank.
    12. Daniel Borowczyk-Martins & Gregory Jolivet & Fabien Postel-Vinay, 2013. "Accounting For Endogeneity in Matching Function Estimation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(3), pages 440-451, July.
    13. 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.
    14. Iva Tomić, 2014. "Regional matching (in)efficiency on the Croatian labour market," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 64(3), pages 287-312, September.
    15. 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.
    16. Lisi, Gaetano, 2011. "Matching Models of Equilibrium Unemployment: An Overview," MPRA Paper 30191, University Library of Munich, Germany.
    17. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Spatial labour market matching," KAE Working Papers 2016-009, Warsaw School of Economics, Collegium of Economic Analysis.
    18. 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.
    19. Joanna Tyrowicz & Tomasz Jeruzalski, 2013. "(In)Efficiency of matching: the case of a post-transition economy," Economic Change and Restructuring, Springer, vol. 46(2), pages 255-275, May.
    20. William Hawkins & Carlos Carrillo-Tudela, 2014. "A Generalized Model of Stock-Flow Matching," 2014 Meeting Papers 1380, Society for Economic Dynamics.

    More about this item

    Keywords

    Stock-flow matching; Random matching; Job queuing; Polish labour market; Temporal aggregation;
    All these keywords.

    JEL classification:

    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:sgh:kaewps:2016005. 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: Dariusz Nojszewski (email available below). General contact details of provider: https://edirc.repec.org/data/kawawpl.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.