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Theory and Evidence on Employer Collusion in the Franchise Sector

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  • Alan B. Krueger

    (Princeton University and NBER)

  • Orley Ashenfelter

    (Princeton University and NBER)

Abstract

In this paper we study the role of covenants in franchise contracts that restrict the recruitment and hiring of employees from other units within the same franchise chain in suppressing and hiring of employees from other units within the same franchise chain in suppressing find that "no-poaching of workers agreements" are included in a surprising 58 percent of major franchisors' contracts, including McDonald's, Burger King, Jiffy Lube and H&R Block. Theoretical models of oligopsony and dynamic monopsony, as well as incentives for investment in job training, are discussed in the context of these no-poaching agreements. Although the occurrence of no-poaching agreements is difficult to predict from franchise or industry characteristics, no-poaching agreements are more common for franchises in low-wage and high-turnover industries.

Suggested Citation

  • Alan B. Krueger & Orley Ashenfelter, 2017. "Theory and Evidence on Employer Collusion in the Franchise Sector," Working Papers 614, Princeton University, Department of Economics, Industrial Relations Section..
  • Handle: RePEc:pri:indrel:614
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    1. David H. Autor & David Dorn & Gordon H. Hanson, 2016. "The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 205-240, October.
    2. Natalya Shelkova, 2015. "Low-Wage Labor Markets and the Power of Suggestion," Review of Social Economy, Taylor & Francis Journals, vol. 73(1), pages 61-88, March.
    3. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    4. Dansby, Robert E & Willig, Robert D, 1979. "Industry Performance Gradient Indexes," American Economic Review, American Economic Association, vol. 69(3), pages 249-260, June.
    5. Acemoglu, Daron & Pischke, Jorn-Steffen, 1999. "Beyond Becker: Training in Imperfect Labour Markets," Economic Journal, Royal Economic Society, vol. 109(453), pages 112-142, February.
    6. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    7. Burdett, Kenneth & Mortensen, Dale T, 1998. "Wage Differentials, Employer Size, and Unemployment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 257-273, May.
    8. Grout, Paul A, 1984. "Investment and Wages in the Absence of Binding Contracts: A Nash Bargining Approach," Econometrica, Econometric Society, vol. 52(2), pages 449-460, March.
    9. Joan Robinson, 1969. "The Economics of Imperfect Competition," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-1-349-15320-6, March.
    10. Stevens, Margaret, 1994. "A Theoretical Model of On-the-Job Training with Imperfect Competition," Oxford Economic Papers, Oxford University Press, vol. 46(4), pages 537-562, October.
    11. Hashimoto, Masanori, 1982. "Minimum Wage Effects on Training on the Job," American Economic Review, American Economic Association, vol. 72(5), pages 1070-1087, December.
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    More about this item

    JEL classification:

    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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