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Monopsony power and the demand for low-skilled workers

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  • Arnd Kölling

Abstract

This study analyses firms’ labour demand when employers have at least some monopsony power. It is argued that without taking into account (quasi-)monopsonistic structures of the labour market, wrong predictions are made about the effects of minimum wages. Using switching fractional panel probit regressions with German establishment data, I find that slightly more than 80% of establishments exercise some degree of monopsony power in their demand for low-skilled workers. The outcome suggests that a 1% increase in payments for low-skilled workers would, in these firms, increase employment for this group by 1.12%, while firms without monopsony power reduce the number of low-skilled, by about 1.63% for the same increase in remuneration. The study can probably also be used to explain the limited employment effects of the introduction of a statutory minimum wage in Germany and thus leads to a better understanding of the labour market for low-skilled workers. JEL Codes : J23, J42, C23, D24

Suggested Citation

  • Arnd Kölling, 2022. "Monopsony power and the demand for low-skilled workers," The Economic and Labour Relations Review, , vol. 33(2), pages 377-395, June.
  • Handle: RePEc:sae:ecolab:v:33:y:2022:i:2:p:377-395
    DOI: 10.1177/10353046211042427
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    1. Douglas A. Webber, 2016. "Firm-Level Monopsony and the Gender Pay Gap," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(2), pages 323-345, April.
    2. Torberg Falch, 2017. "Wages and Recruitment," ILR Review, Cornell University, ILR School, vol. 70(2), pages 483-518, March.
    3. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    4. David Neumark & JM Salas & William Wascher, 2014. "More on recent evidence on the effects of minimum wages in the United States," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-26, December.
    5. Lichter, Andreas & Peichl, Andreas & Siegloch, Sebastian, 2015. "The own-wage elasticity of labor demand: A meta-regression analysis," European Economic Review, Elsevier, vol. 80(C), pages 94-119.
    6. Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
    7. Caliendo, Marco & Fedorets, Alexandra & Preuss, Malte & Schröder, Carsten & Wittbrodt, Linda, 2018. "The short-run employment effects of the German minimum wage reform," Labour Economics, Elsevier, vol. 53(C), pages 46-62.
    8. Arne Heise & Toralf Pusch, 2020. "Introducing minimum wages in Germany employment effects in a post Keynesian perspective," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1515-1532, November.
    9. Azar, José & Marinescu, Ioana & Steinbaum, Marshall & Taska, Bledi, 2020. "Concentration in US labor markets: Evidence from online vacancy data," Labour Economics, Elsevier, vol. 66(C).
    10. Alan Manning, 2021. "Monopsony in Labor Markets: A Review," ILR Review, Cornell University, ILR School, vol. 74(1), pages 3-26, January.
    11. Heise, Arne, 2020. "Minimum wages and the resilience of neoclassical labour market economics: Some preliminary evidence from Germany," ZÖSS-Discussion Papers 77, University of Hamburg, Centre for Economic and Sociological Studies (CESS/ZÖSS).
    12. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    13. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    14. Gregor Jarosch & Jan Sebastian Nimczik & Isaac Sorkin, 2019. "Granular Search, Market Structure, and Wages," NBER Working Papers 26239, National Bureau of Economic Research, Inc.
    15. Efraim Benmelech & Nittai K. Bergman & Hyunseob Kim, 2022. "Strong Employers and Weak Employees: How Does Employer Concentration Affect Wages?," Journal of Human Resources, University of Wisconsin Press, vol. 57(S), pages 200-250.
    16. Dale Belman & Paul J. Wolfson, 2014. "What Does the Minimum Wage Do?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wdmwd, November.
    17. Fischer, Gabriele & Janik, Florian & Müller, Dana & Schmucker, Alexandra, 2008. "The IAB establishment panel : from sample to survey to projection," FDZ Methodenreport 200801_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    19. Boris Hirsch & Elke J. Jahn, 2015. "Is There Monopsonistic Discrimination against Immigrants?," ILR Review, Cornell University, ILR School, vol. 68(3), pages 501-528, May.
    20. John Addison & Lutz Bellmann & Thorsten Schank & Paulino Teixeira, 2008. "The Demand for Labor: An Analysis Using Matched Employer–Employee Data from the German LIAB. Will the High Unskilled Worker Own-Wage Elasticity Please Stand Up?," Journal of Labor Research, Springer, vol. 29(2), pages 114-137, June.
    21. Oliver Bruttel, 2019. "The effects of the new statutory minimum wage in Germany: a first assessment of the evidence," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-13, December.
    22. Alan Manning, 2006. "A Generalised Model of Monopsony," Economic Journal, Royal Economic Society, vol. 116(508), pages 84-100, January.
    23. Bruttel, Oliver, 2019. "The effects of the new statutory minimum wage in Germany: a first assessment of the evidence," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-10.
    24. David Neumark & William Wascher, 1994. "Minimum Wage Effects and Low-Wage Labor Markets: A Disequilibrium Approach," NBER Working Papers 4617, National Bureau of Economic Research, Inc.
    25. repec:iab:iabjlr:v:53:i:1:p:art.10 is not listed on IDEAS
    26. Megan Linde Leonard & T. D. Stanley & Hristos Doucouliagos, 2014. "Does the UK Minimum Wage Reduce Employment? A Meta-Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 499-520, September.
    27. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    28. Chletsos, Michael & Giotis, Georgios P., 2015. "The employment effect of minimum wage using 77 international studies since 1992: A meta-analysis," MPRA Paper 61321, University Library of Munich, Germany.
    29. Riju Joshi & Jeffrey M. Wooldridge, 2019. "Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels," Annals of Economics and Statistics, GENES, issue 134, pages 243-268.
    30. Boris Hirsch & Elke J. Jahn & Claus Schnabel, 2018. "Do Employers Have More Monopsony Power in Slack Labor Markets?," ILR Review, Cornell University, ILR School, vol. 71(3), pages 676-704, May.
    31. Alfred Garloff, 2019. "Did the German Minimum Wage Reform Influence (Un)employment Growth in 2015? Evidence from Regional Data," German Economic Review, Verein für Socialpolitik, vol. 20(3), pages 356-381, August.
    32. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    33. Bruttel, Oliver, 2019. "The effects of the new statutory minimum wage in Germany: a first assessment of the evidence," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages .10(1-13).
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    More about this item

    Keywords

    Monopsony; labour demand; low-skilled workers; low wages;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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