IDEAS home Printed from https://ideas.repec.org/a/spr/jlabrs/v55y2021i1d10.1186_s12651-021-00293-1.html
   My bibliography  Save this article

Spatial matching on the urban labor market: estimates with unique micro data

Author

Listed:
  • Marcin Wozniak

    (Adam Mickiewicz University)

Abstract

In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jlabrs:v:55:y:2021:i:1:d:10.1186_s12651-021-00293-1
    DOI: 10.1186/s12651-021-00293-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s12651-021-00293-1
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s12651-021-00293-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14, pages 48-76, February.
    2. Alan Manning & Barbara Petrongolo, 2017. "How Local Are Labor Markets? Evidence from a Spatial Job Search Model," American Economic Review, American Economic Association, vol. 107(10), pages 2877-2907, October.
    3. Marco Guerrazzi, 2016. "Increasing Returns in Matching and Labour Market Dynamics: Comments on Indeterminacy and Search Theory," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 15(1), pages 85-88, June.
    4. Reinhard Hujer & Paulo J.M. Rodrigues & Katja Wolf, 2009. "Estimating the macroeconomic effects of active labour market policies using spatial econometric methods," International Journal of Manpower, Emerald Group Publishing Limited, vol. 30(7), pages 648-671, November.
    5. Shuaizhang Feng & Yingyao Hu, 2013. "Misclassification Errors and the Underestimation of the US Unemployment Rate," American Economic Review, American Economic Association, vol. 103(2), pages 1054-1070, April.
    6. Ewa Galecka-Burdziak, 2017. "Randomness or stock–flow: which mechanism describes labour market matching in Poland?," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 17(2), pages 119-135.
    7. Kosfeld Reinhold, 2007. "Regional Spillovers and Spatial Heterogeneity in Matching Workers and Employers in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 236-253, June.
    8. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    9. Yashiv, Eran, 2006. "Evaluating the performance of the search and matching model," European Economic Review, Elsevier, vol. 50(4), pages 909-936, May.
    10. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, December.
    11. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    12. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    13. Luc Anselin & Sergio J. Rey, 2010. "Perspectives on Spatial Data Analysis," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 1-20, Springer.
    14. 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.
    15. Kano, Shigeki & Ohta, Makoto, 2005. "Estimating a matching function and regional matching efficiencies: Japanese panel data for 1973-1999," Japan and the World Economy, Elsevier, vol. 17(1), pages 25-41, January.
    16. 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.
    17. Uwe Sunde, 2007. "Empirical Matching Functions: Searchers, Vacancies, and (Un‐)biased Elasticities," Economica, London School of Economics and Political Science, vol. 74(295), pages 537-560, August.
    18. 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.
    19. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    20. Jan K. Brueckner & Yves Zenou, 2003. "Space and Unemployment: The Labor-Market Effects of Spatial Mismatch," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 242-262, January.
    21. 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.
    22. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-444, June.
    23. 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.
    24. López-Tamayo, Jordi & Suriñach, Jordi & López-Bazo, Enrique, 2000. "Returns To Matching: The Effect Of Spatial Interactions In Labour Markets," ERSA conference papers ersa00p294, European Regional Science Association.
    25. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    26. Yanguang Chen, 2012. "On the four types of weight functions for spatial contiguity matrix," Letters in Spatial and Resource Sciences, Springer, vol. 5(2), pages 65-72, July.
    27. Wong, Sandy & McLafferty, Sara L. & Planey, Arrianna M. & Preston, Valerie A., 2020. "Disability, wages, and commuting in New York," Journal of Transport Geography, Elsevier, vol. 87(C).
    28. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    29. Roger S. Bivand & David W. S. Wong, 2018. "Comparing implementations of global and local indicators of spatial association," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 716-748, September.
    30. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    31. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    32. Robert Shimer, 2005. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies," American Economic Review, American Economic Association, vol. 95(1), pages 25-49, March.
    33. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    34. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
    35. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    36. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    37. Giuseppe Arbia & Bernard Fingleton, 2008. "New spatial econometric techniques and applications in regional science," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 311-317, August.
    38. Eleonora Patacchini & Yves Zenou, 2007. "Spatial dependence in local unemployment rates," Journal of Economic Geography, Oxford University Press, vol. 7(2), pages 169-191, March.
    39. Gillian Paull, 2002. "Biases in the reporting of labour market dynamics," IFS Working Papers W02/10, Institute for Fiscal Studies.
    40. Arthur Getis & Jared Aldstadt, 2010. "Constructing the Spatial Weights Matrix Using a Local Statistic," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 147-163, Springer.
    41. 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.
    42. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    43. Yves Croissant & Giovanni Millo, 2018. "Panel Data Econometrics with R," Post-Print hal-01699532, HAL.
    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. repec:iab:iabjlr:v:55:i::p:art.11 is not listed on IDEAS
    2. Wozniak, Marcin, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-11.
    3. Wozniak, Marcin, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55(55), pages 1-.11.
    4. 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.
    5. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    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. Higashi, Yudai, 2018. "Spatial spillovers in job matching: Evidence from the Japanese local labor markets," Journal of the Japanese and International Economies, Elsevier, vol. 50(C), pages 1-15.
    8. Carsten Ochsen, 2021. "Age cohort effects on unemployment in the USA: Evidence from the regional level," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1025-1053, August.
    9. Michael Stops, 2014. "Job matching across occupational labour markets," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 940-958.
    10. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    11. Nasser Dine Mohamedou, 2022. "Labor mobility within Japanese regional labor markets and spillover effects," The Japanese Economic Review, Springer, vol. 73(4), pages 625-645, October.
    12. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    13. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    14. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    15. 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.
    16. Alexandra Fedorets & Franziska Lottmann & Michael Stops, 2019. "Job matching in connected regional and occupational labour markets," Regional Studies, Taylor & Francis Journals, vol. 53(8), pages 1085-1098, August.
    17. repec:rri:wpaper:201303 is not listed on IDEAS
    18. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    19. 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.
    20. Julio J. Rotemberg, 2008. "Cyclical Wages in a Search-and-Bargaining Model with Large Firms," NBER Chapters, in: NBER International Seminar on Macroeconomics 2006, pages 65-114, National Bureau of Economic Research, Inc.
    21. Costain, James S. & Reiter, Michael, 2008. "Business cycles, unemployment insurance, and the calibration of matching models," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1120-1155, April.
    22. Gottfries, Nils & Stadin, Karolina, 2016. "The Matching Process:Search Or Mismatch?," Working Paper Series 2016:14, Uppsala University, Department of Economics.

    More about this item

    Keywords

    Spatial matching function; Spatial correlation; Urban labor market;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:spr:jlabrs:v:55:y:2021:i:1:d:10.1186_s12651-021-00293-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.