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Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering

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  • Lavinia Piemontese

    (Univ Lyon, ENS de Lyon, GATE UMR 5824, F-69342 Lyon, France)

Abstract

This paper proposes a new approach for quantifying the economic cost of hidden economies. I specifically apply the method to the case of mafia racketeering in Northern Italy, and in so doing, provide the first explicit estimate of the economic cost of mafia spread in this area. I show both theoretically and empirically that acts of extortion imposed on certain firms are linked to resource misallocation. I quantify the share of output that the mafia extorts from firms, which ranges between 0.5 and 5 percent of firm-level output for the taxed firms. I then consider what these estimates imply and find that between 2000 and 2012, the Northern Italian economy suffered an aggregate loss of approximately 2.5 billion Euros. Quite remarkably, only one-fourth of this cost consists of the aggregate transfer to the mafia. The remaining three-fourths corresponds to the contraction of production due to misallocation.

Suggested Citation

  • 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.
  • Handle: RePEc:gat:wpaper:2025
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    References listed on IDEAS

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    1. Paolo Buonanno & Ruben Durante & Giovanni Prarolo & Paolo Vanin, 2015. "Poor Institutions, Rich Mines: Resource Curse in the Origins of the Sicilian Mafia," Economic Journal, Royal Economic Society, vol. 125(586), pages 175-202, August.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Timothy Besley & Hannes Mueller, 2018. "Predation, Protection, and Productivity: A Firm-Level Perspective," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(2), pages 184-221, April.
    4. Paolo Angelini & Andrea Generale, 2008. "On the Evolution of Firm Size Distributions," American Economic Review, American Economic Association, vol. 98(1), pages 426-438, March.
    5. Ranasinghe, Ashantha, 2017. "Property rights, extortion and the misallocation of talent," European Economic Review, Elsevier, vol. 98(C), pages 86-110.
    6. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    7. Barone, Guglielmo & Narciso, Gaia, 2015. "Organized crime and business subsidies: Where does the money go?," Journal of Urban Economics, Elsevier, vol. 86(C), pages 98-110.
    8. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    9. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    10. Antonio Acconcia & Giancarlo Corsetti & Saverio Simonelli, 2014. "Mafia and Public Spending: Evidence on the Fiscal Multiplier from a Quasi-experiment," American Economic Review, American Economic Association, vol. 104(7), pages 2185-2209, July.
    11. Scognamiglio, Annalisa, 2018. "When the mafia comes to town," European Journal of Political Economy, Elsevier, vol. 55(C), pages 573-590.
    12. Diego Restuccia & Richard Rogerson, 2008. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 707-720, October.
    13. Lavinia Piemontese, 2013. "The Spread of Mafia in Northern Italy: The Role of Public Infrastructure," Rivista di Politica Economica, SIPI Spa, issue 4, pages 113-140, October-D.
    14. Galletta, Sergio, 2017. "Law enforcement, municipal budgets and spillover effects: Evidence from a quasi-experiment in Italy," Journal of Urban Economics, Elsevier, vol. 101(C), pages 90-105.
    15. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2013. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," American Economic Review, American Economic Association, vol. 103(1), pages 305-334, February.
    16. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    17. Stergios Skaperdas, 2001. "The political economy of organized crime: providing protection when the state does not," Economics of Governance, Springer, vol. 2(3), pages 173-202, November.
    18. Andrew Atkeson & Patrick J. Kehoe, 2005. "Modeling and Measuring Organization Capital," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 1026-1053, October.
    19. Francesco Amodio & Michele Di Maio, 2018. "Making Do With What You Have: Conflict, Input Misallocation and Firm Performance," Economic Journal, Royal Economic Society, vol. 128(615), pages 2559-2612, November.
    20. Gianmarco Daniele & Gemma Dipoppa, 2018. "Doing Business Below the Line: Screening, Mafias and Public Funds," BAFFI CAREFIN Working Papers 1898, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    21. Paolo Pinotti, 2015. "The Economic Costs of Organised Crime: Evidence from Southern Italy," Economic Journal, Royal Economic Society, vol. 125(586), pages 203-232, August.
    22. Litterio Mirenda & Sauro Mocetti & Lucia Rizzica, 2019. "The real effects of 'ndrangheta: firm-level evidence," Temi di discussione (Economic working papers) 1235, Bank of Italy, Economic Research and International Relations Area.
    23. Cristiana Donati & Domenico Sarno, 2015. "Are firms in "backward" areas of developed regions more financially constrained? The case of Italian SMEs," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(6), pages 1353-1375.
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    Cited by:

    1. Francesca Maria Calamunci & Federico Fabio Frattini, 2023. "When Crime Tears Communities Apart: Social Capital and Organised Crime," Working Papers 2023.08, Fondazione Eni Enrico Mattei.
    2. Campedelli, Gian Maria & Daniele, Gianmarco & Martinangeli, Andrea F.M. & Pinotti, Paolo, 2023. "Organized crime, violence and support for the state," Journal of Public Economics, Elsevier, vol. 228(C).

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    More about this item

    Keywords

    Organized crime; Extortion Racketeering; Resource Misallocation; Welfare Loss; within-industry OP covariance;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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