IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12083.html
   My bibliography  Save this paper

Effect of Enforcement Shock on Pushers' Activities: Evidence from an Asian Drug-Selling Gang

Author

Listed:
  • Leong, Kaiwen

    (Nanyang Technological University, Singapore)

  • Li, Huailu

    (Fudan University, China)

  • Xu, Haibo

    (Tongji University)

Abstract

We study a Singaporean drug-selling gang's dataset and empirically find that the gang's pushers purchased larger quantities of drugs during periods of enforcement shocks caused by enforcement activities targeting the gang's drug supply chain. This counter-intuitive finding can be explained by the pushers' profit targeting behavior. Given that enforcement shocks increased the pushers' cost of drugs, pushers must compensate by purchasing more drugs to sell in order to reach their profit targets.

Suggested Citation

  • Leong, Kaiwen & Li, Huailu & Xu, Haibo, 2019. "Effect of Enforcement Shock on Pushers' Activities: Evidence from an Asian Drug-Selling Gang," IZA Discussion Papers 12083, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12083
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12083.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mirko Draca & Stephen Machin & Robert Witt, 2011. "Panic on the Streets of London: Police, Crime, and the July 2005 Terror Attacks," American Economic Review, American Economic Association, vol. 101(5), pages 2157-2181, August.
    2. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 407-441.
    3. Steven D. Levitt, 2002. "Using Electoral Cycles in Police Hiring to Estimate the Effects of Police on Crime: Reply," American Economic Review, American Economic Association, vol. 92(4), pages 1244-1250, September.
    4. Manolis Galenianos & Rosalie Liccardo Pacula & Nicola Persico, 2012. "A Search-Theoretic Model of the Retail Market for Illicit Drugs," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 1239-1269.
    5. Johannes Abeler & Armin Falk & Lorenz Goette & David Huffman, 2011. "Reference Points and Effort Provision," American Economic Review, American Economic Association, vol. 101(2), pages 470-492, April.
    6. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    7. Gerald S. Oettinger, 1999. "An Empirical Analysis of the Daily Labor Supply of Stadium Vendors," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 360-392, April.
    8. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    9. Vincent P. Crawford & Juanjuan Meng, 2011. "New York City Cab Drivers' Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income," American Economic Review, American Economic Association, vol. 101(5), pages 1912-1932, August.
    10. Liana Jacobi & Michelle Sovinsky, 2016. "Marijuana on Main Street? Estimating Demand in Markets with Limited Access," American Economic Review, American Economic Association, vol. 106(8), pages 2009-2045, August.
    11. Stephen Machin & Olivier Marie, 2011. "Crime And Police Resources: The Street Crime Initiative," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 678-701, August.
    12. Manolis Galenianos & Alessandro Gavazza, 2017. "A Structural Model of the Retail Market for Illicit Drugs," American Economic Review, American Economic Association, vol. 107(3), pages 858-896, March.
    13. Klick, Jonathan & Tabarrok, Alexander, 2005. "Using Terror Alert Levels to Estimate the Effect of Police on Crime," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 267-279, April.
    14. Stephen Machin & Olivier Marie, 2005. "Can More Police Resources Reduce Crime?," CentrePiece - The magazine for economic performance 190, Centre for Economic Performance, LSE.
    15. Ernst Fehr & Lorenz Goette, 2007. "Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment," American Economic Review, American Economic Association, vol. 97(1), pages 298-317, March.
    16. Carlos Dobkin & Nancy Nicosia, 2009. "The War on Drugs: Methamphetamine, Public Health, and Crime," American Economic Review, American Economic Association, vol. 99(1), pages 324-349, March.
    17. Yuan, Yuehong & Caulkins, Jonathan P., 1998. "The Effect of Variation in High-level Domestic Drug Enforcement on Variation in Drug Prices," Socio-Economic Planning Sciences, Elsevier, vol. 32(4), pages 265-276, December.
    18. Evans, William N. & Owens, Emily G., 2007. "COPS and crime," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 181-201, February.
    19. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    20. Tess M. Stafford, 2015. "What Do Fishermen Tell Us That Taxi Drivers Do Not? An Empirical Investigation of Labor Supply," Journal of Labor Economics, University of Chicago Press, vol. 33(3), pages 683-710.
    21. Henry S. Farber, 2015. "Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," The Quarterly Journal of Economics, Oxford University Press, vol. 130(4), pages 1975-2026.
    22. Jérôme Adda & Brendon McConnell & Imran Rasul, 2014. "Crime and the Depenalization of Cannabis Possession: Evidence from a Policing Experiment," Journal of Political Economy, University of Chicago Press, vol. 122(5), pages 1130-1202.
    23. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    24. Adda, Jérôme & McConnell, Brendon & Rasul, Imran, 2014. "Crime and the depenalization of cannabis possession: evidence," Economics Working Papers ECO2014/05, European University Institute.
    25. Melissa Dell, 2015. "Trafficking Networks and the Mexican Drug War," American Economic Review, American Economic Association, vol. 105(6), pages 1738-1779, June.
    26. Henry S. Farber, 2008. "Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers," American Economic Review, American Economic Association, vol. 98(3), pages 1069-1082, June.
    27. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    28. Justin McCrary, 2007. "The Effect of Court-Ordered Hiring Quotas on the Composition and Quality of Police," American Economic Review, American Economic Association, vol. 97(1), pages 318-353, March.
    29. Henry S. Farber, 2005. "Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 46-82, February.
    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. Alessandro Saia, 2022. "Trouble Underground: Demand Shocks and the Labor Supply Behavior of New York City Taxi Drivers," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 1-27, March.
    2. MacDonald, Daniel & Mellizo, Philip, 2017. "Reference dependent preferences and labor supply in historical perspective," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 117-124.
    3. Timothy J. Richards, 2020. "Income Targeting and Farm Labor Supply," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 419-438, March.
    4. Martin, Vincent, 2017. "When to quit: Narrow bracketing and reference dependence in taxi drivers," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 166-187.
    5. Cosaert, Sam & Lefebvre, Mathieu & Martin, Ludivine, 2022. "Are preferences for work reference dependent or time nonseparable? New experimental evidence," European Economic Review, Elsevier, vol. 148(C).
    6. Giné, Xavier & Martinez-Bravo, Monica & Vidal-Fernández, Marian, 2017. "Are labor supply decisions consistent with neoclassical preferences? Evidence from Indian boat owners," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 331-347.
    7. Lovett, Nicholas & Xue, Yuhan, 2022. "Rare homicides, criminal behavior, and the returns to police labor," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 172-195.
    8. Hammarlund, Cecilia, 2018. "A trip to reach the target? – The labor supply of Swedish Baltic cod fishermen," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 1-11.
    9. Chang, Tom & Gross, Tal, 2014. "How many pears would a pear packer pack if a pear packer could pack pears at quasi-exogenously varying piece rates?," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 1-17.
    10. Vidal, Jordi Blanes I & Kirchmaier, Tom, 2015. "The effect of police response time on crime detection," LSE Research Online Documents on Economics 64979, London School of Economics and Political Science, LSE Library.
    11. Sun, Hao & Wang, Hai & Wan, Zhixi, 2019. "Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 76-93.
    12. Eric J. Allen & Patricia M. Dechow & Devin G. Pope & George Wu, 2017. "Reference-Dependent Preferences: Evidence from Marathon Runners," Management Science, INFORMS, vol. 63(6), pages 1657-1672, June.
    13. Alex Markle & George Wu & Rebecca White & Aaron Sackett, 2018. "Goals as reference points in marathon running: A novel test of reference dependence," Journal of Risk and Uncertainty, Springer, vol. 56(1), pages 19-50, February.
    14. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.
    15. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," Working Papers 583a, Princeton University, Department of Economics, Industrial Relations Section..
    16. Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
    17. Dupas, Pascaline & Robinson, Jonathan & Saavedra, Santiago, 2020. "The daily grind: Cash needs and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 399-414.
    18. Håkan Eggert & Viktoria Kahui, 2013. "Reference-dependent behaviour of paua (abalone) divers in New Zealand," Applied Economics, Taylor & Francis Journals, vol. 45(12), pages 1571-1582, April.
    19. Steffen Andersen & Alec Brandon & Uri Gneezy & John List, 2014. "Toward an Understanding of Reference-Dependent Labor Supply: Theory and Evidence from a Field Experiment," Framed Field Experiments 00392, The Field Experiments Website.
    20. Christine L. Exley & Stephen J. Terry, 2019. "Wage Elasticities in Working and Volunteering: The Role of Reference Points in a Laboratory Study," Management Science, INFORMS, vol. 65(1), pages 413-425, January.

    More about this item

    Keywords

    crime; enforcement; labor supply;
    All these keywords.

    JEL classification:

    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp12083. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.