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Property Rights, Extortion and the Misallocation of Talent

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  • Ashantha Ranasinghe

    (University of Toronto)

Abstract

How do institutions affect resource misallocation? This paper focuses on a particular class of institutions, namely property rights, and their relation to extortion. Motivated by empirical evidence that there are differences in extortion rates across establishments, both within and across countries, I examine whether extortion is an important channel for understanding resource misallocation. I construct a model in which agents choose between entrepreneurship and working, and where a criminal group can extort entrepreneur capital. While property rights are common across agents, extortion rates arise endogenously as an inverted `u' shape in agent's ability. In economies characterized by weak property rights, extortion is prevalent and resource misallocation can generate TFP and output losses of 10 and 30 percent. TFP and output losses arise from two channels: selection and misallocation. Extortion affects selection by altering the ability threshold required for entry into entrepreneurship, while misallocation occurs because entrepreneurs operate below the optimal scale. As property rights decrease, extortion rates are higher and TFP and output losses from selection and misallocation are magnified.

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  • Ashantha Ranasinghe, 2012. "Property Rights, Extortion and the Misallocation of Talent," 2012 Meeting Papers 293, Society for Economic Dynamics.
  • Handle: RePEc:red:sed012:293
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    Cited by:

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    3. Diego Restuccia, 2013. "factor misallocation and development," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    4. Tamkoc,Mehmet Nazim, 2022. "Bribery, Plant Size and Size Dependent Distortions," Policy Research Working Paper Series 10159, The World Bank.
    5. Jeremy Greenwood & Juan Sanchez & Cheng Wang, 2013. "Quantifying the Impact of Financial Development on Economic Development," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 194-215, January.
    6. Diego Restuccia, 2013. "The Latin American Development Problem: An Interpretation," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 69-108, January.
    7. Dhritman Bhattacharya & Nezih Guner & Gustavo Ventura, 2013. "Distortions, Endogenous Managerial Skills and Productivity Differences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 11-25, January.
    8. Lavinia Piemontese, 2020. "Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering," Working Papers 2025, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    9. Mascarúa Lara Miguel A., 2022. "Imperfect Law Enforcement, Informality, and Organized Crime," Working Papers 2022-16, Banco de México.
    10. Ranasinghe, Ashantha, 2023. "Gender Specific Distortions, Entrepreneurship and Misallocation," Working Papers 2023-1, University of Alberta, Department of Economics, revised 27 Jul 2023.
    11. Asatryan, Zareh & Baskaran, Thushyanthan & Birkholz, Carlo & Gomtsyan, David, 2021. "Favoritism and firms: Micro evidence and macro implications," ZEW Discussion Papers 21-031, ZEW - Leibniz Centre for European Economic Research.
    12. Diego Restuccia, 2011. "Recent developments in economic growth," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(3Q), pages 329-357.
    13. Lavinia Piemontese, 2021. "Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering," Working Papers halshs-02928546, HAL.
    14. Xu Dong & Yali Yang & Qinqin Zhuang & Weili Xie & Xiaomeng Zhao, 2022. "Does Environmental Regulation Help Mitigate Factor Misallocation?—Theoretical Simulations Based on a Dynamic General Equilibrium Model and the Perspective of TFP," IJERPH, MDPI, vol. 19(6), pages 1-21, March.
    15. Ranasinghe, Ashantha, 2024. "Misallocation across establishment gender," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 183-206.
    16. Oguzoglu Umut & Ranasinghe Ashantha, 2017. "Crime and Establishment Size: Evidence from South America," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(4), pages 1-17, October.
    17. Miguel Angel, 2023. "Differences in the labor market by gender and aggregate income," Sobre México. Revista de Economía, Sobre México. Temas en economía, vol. 1(7), pages 84-114.
    18. Alain Gabler & Markus Poschke, 2013. "Experimentation by Firms, Distortions, and Aggregate Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 26-38, January.
    19. Maribel Guerrero & David Urbano, 2020. "Institutional conditions and social innovations in emerging economies: insights from Mexican enterprises’ initiatives for protecting/preventing the effect of violent events," The Journal of Technology Transfer, Springer, vol. 45(4), pages 929-957, August.

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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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