Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp9831.html
   My bibliography  Save this paper

The Effect of Medical Marijuana Laws on Labor Market Outcomes

Author

Listed:
  • Sabia, Joseph J.

    (San Diego State University)

  • Nguyen, Thanh Tam

    (San Diego State University)

Abstract
A number of recent studies have found that medical marijuana laws (MMLs) are associated with increased marijuana use among adults, in part due to spillover effects into the recreational market. This study is the first to explore the labor market consequences of MMLs. Using repeated cross-sections of the Current Population Survey from January 1990 to December 2014, we find that the enforcement of MMLs is associated with a 2 to 3 percent reduction in hourly earnings for young adult males. The effect is particularly pronounced when examining MMLs that include a collective cultivation provision. For women and older males, there is little evidence of adverse labor market effects of MMLs. We conclude that the health effects of MMLs may adversely affect labor market productivity of young males.

Suggested Citation

  • Sabia, Joseph J. & Nguyen, Thanh Tam, 2016. "The Effect of Medical Marijuana Laws on Labor Market Outcomes," IZA Discussion Papers 9831, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9831
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp9831.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Souvik Banerjee & Pinka Chatterji & Kajal Lahiri, 2017. "Effects of Psychiatric Disorders on Labor Market Outcomes: A Latent Variable Approach Using Multiple Clinical Indicators," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 184-205, February.
    2. Hefei Wen & Jason Hockenberry & Janet R. Cummings, 2014. "The Effect of Medical Marijuana Laws on Marijuana, Alcohol, and Hard Drug Use," NBER Working Papers 20085, National Bureau of Economic Research, Inc.
    3. Thomas C. Buchmueller & Samuel H. Zuvekas, 1998. "Drug use, drug abuse, and labour market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 229-245, May.
    4. Joseph J. Sabia & Richard V. Burkhauser & Benjamin Hansen, 2012. "Are the Effects of Minimum Wage Increases Always Small? New Evidence from a Case Study of New York State," ILR Review, Cornell University, ILR School, vol. 65(2), pages 350-376, April.
    5. Abigail Wozniak, 2015. "Discrimination and the Effects of Drug Testing on Black Employment," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 548-566, July.
    6. Jan C. van Ours, 2006. "Cannabis, cocaine and jobs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 897-917, November.
    7. French, Michael T. & Zarkin, Gary A., 1995. "Is moderate alcohol use related to wages? Evidence from four worksites," Journal of Health Economics, Elsevier, vol. 14(3), pages 319-344, August.
    8. J. Williams & Rosalie Liccardo Pacula & Frank J. Chaloupka & Henry Wechsler, 2004. "Alcohol and marijuana use among college students: economic complements or substitutes?," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 825-843, September.
    9. van Ours, Jan C. & Williams, Jenny, 2012. "The effects of cannabis use on physical and mental health," Journal of Health Economics, Elsevier, vol. 31(4), pages 564-577.
    10. Michael T. French & M. Christopher Roebuck & Pierre Kébreau Alexandre, 2001. "Illicit Drug Use, Employment, and Labor Force Participation," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 349-368, October.
    11. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    12. Charles A. Register & Donald R. Williams, 1992. "Labor Market Effects of Marijuana and Cocaine Use among Young Men," ILR Review, Cornell University, ILR School, vol. 45(3), pages 435-448, April.
    13. Susan L. Ettner & Richard G. Frank & Ronald C. Kessler, 1997. "The Impact of Psychiatric Disorders on Labor Market Outcomes," NBER Working Papers 5989, National Bureau of Economic Research, Inc.
    14. MacDonald, Ziggy & Pudney, Stephen, 2000. "Illicit drug use, unemployment, and occupational attainment," Journal of Health Economics, Elsevier, vol. 19(6), pages 1089-1115, November.
    15. Anderson, D.M. & Rees, D.I. & Sabia, J.J., 2014. "Medical marijuana laws and suicides by gender and age," American Journal of Public Health, American Public Health Association, vol. 104(12), pages 2369-2376.
    16. Powell, David & Pacula, Rosalie Liccardo & Jacobson, Mireille, 2018. "Do medical marijuana laws reduce addictions and deaths related to pain killers?," Journal of Health Economics, Elsevier, vol. 58(C), pages 29-42.
    17. Roland Malivert & Joshua Hall, 2013. "The Effect of Medical Marijuana Laws on Extralegal Marijuana Prices," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(4), pages 455-456, December.
    18. Jan C. van Ours & Jenny Williams, 2011. "Cannabis use and mental health problems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(7), pages 1137-1156, November.
    19. Ziggy Macdonald & Michael A. Shields, 2001. "The Impact of Alcohol Consumption on Occupational Attainment in England," Economica, London School of Economics and Political Science, vol. 68(271), pages 427-453, August.
    20. Jan C. Ours & Jenny Williams, 2015. "Cannabis Use And Its Effects On Health, Education And Labor Market Success," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 993-1010, December.
    21. Bethany L. Peters & Edward Stringham, 2006. "No Booze? You May Lose: Why Drinkers Earn More Money Than Nondrinkers," Journal of Labor Research, Transaction Publishers, vol. 27(3), pages 411-421, June.
    22. repec:bla:econom:v:68:y:2001:i:271:p:427-53 is not listed on IDEAS
    23. Pinka Chatterji, 2006. "Illicit drug use and educational attainment," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 489-511, May.
    24. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    25. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    26. Mullahy, John & Sindelar, Jody L, 1991. "Gender Differences in Labor Market Effects of Alcoholism," American Economic Review, American Economic Association, vol. 81(2), pages 161-165, May.
    27. Jeff DeSimone, 2002. "Illegal Drug Use and Employment," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 952-977, October.
    28. Pinka Chatterji & Jeffrey DeSimone, 2006. "High School Alcohol Use and Young Adult Labor Market Outcomes," NBER Working Papers 12529, National Bureau of Economic Research, Inc.
    29. D. Mark Anderson & Benjamin Hansen & Daniel I. Rees, 2015. "Medical Marijuana Laws and Teen Marijuana Use," American Law and Economics Review, American Law and Economics Association, vol. 17(2), pages 495-528.
    30. D. Mark Anderson & Daniel I. Rees, 2014. "The Legalization of Recreational Marijuana: How Likely Is the Worst‐Case Scenario?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(1), pages 221-232, January.
    31. Crost, Benjamin & Guerrero, Santiago, 2012. "The effect of alcohol availability on marijuana use: Evidence from the minimum legal drinking age," Journal of Health Economics, Elsevier, vol. 31(1), pages 112-121.
    32. Bethany Peters, 2009. "The drinkers' bonus in the military: officers versus enlisted personnel," Applied Economics, Taylor & Francis Journals, vol. 41(17), pages 2211-2220.
    33. Erdal Tekin, 2004. "Employment, Wages, and Alcohol Consumption in Russia," Southern Economic Journal, John Wiley & Sons, vol. 71(2), pages 397-417, October.
    34. Weiwei Feng & Wei Zhou & J.S. Butler & Brenda M. Booth & Michael T. French, 2001. "The impact of problem drinking on employment," Health Economics, John Wiley & Sons, Ltd., vol. 10(6), pages 509-521, September.
    35. Andrew M. Gill & Robert J. Michaels, 1992. "Does Drug Use Lower Wages?," ILR Review, Cornell University, ILR School, vol. 45(3), pages 419-434, April.
    36. D. Mark Anderson & Benjamin Hansen & Daniel I. Rees, 2013. "Medical Marijuana Laws, Traffic Fatalities, and Alcohol Consumption," Journal of Law and Economics, University of Chicago Press, vol. 56(2), pages 333-369.
    37. Rosalie Liccardo Pacula & David Powell & Paul Heaton & Eric L. Sevigny, 2013. "Assessing the Effects of Medical Marijuana Laws on Marijuana and Alcohol Use: The Devil is in the Details," NBER Working Papers 19302, National Bureau of Economic Research, Inc.
    38. Frijters, Paul & Johnston, David W. & Shields, Michael A., 2010. "Mental Health and Labour Market Participation: Evidence from IV Panel Data Models," IZA Discussion Papers 4883, Institute of Labor Economics (IZA).
    39. Bethany Peters, 2004. "Is there a wage bonus from drinking? Unobserved heterogeneity examined," Applied Economics, Taylor & Francis Journals, vol. 36(20), pages 2299-2315.
    40. Zarkin, Gary A. & Mroz, Thomas A. & Bray, Jeremy W. & French, Michael T., 1998. "The relationship between drug use and labor supply for young men," Labour Economics, Elsevier, vol. 5(4), pages 385-409, December.
    41. Harder, V.S. & Chilcoat, H.D., 2007. "Cocaine use and educational achievement: Understanding a changing association over the past 2 decades," American Journal of Public Health, American Public Health Association, vol. 97(10), pages 1790-1793.
    42. M. Christopher Auld, 2005. "Smoking, Drinking, and Income," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zachary S. Fone & Joseph J. Sabia & Resul Cesur, 2019. "Do Minimum Wage Increases Reduce Crime?," NBER Working Papers 25647, National Bureau of Economic Research, Inc.
    2. Johanna Catherine Maclean & Brady P. Horn & Jonathan H. Cantor, 2020. "Business Cycles And Admissions To Substance Abuse Treatment," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 139-154, January.
    3. Jörg Kalbfuß & Reto Odermatt & Alois Stutzer, 2018. "Medical marijuana laws and mental health in the United States," CEP Discussion Papers dp1546, Centre for Economic Performance, LSE.
    4. Anna Choi & Dhaval Dave & Joseph J. Sabia, 2016. "Smoke Gets in Your Eyes: Medical Marijuana Laws and Tobacco Use," NBER Working Papers 22554, National Bureau of Economic Research, Inc.
    5. Johanna Catherine Maclean & Keshar M. Ghimire & Lauren Hersch Nicholas, 2021. "Marijuana legalization and disability claiming," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 453-469, February.
    6. Lauren Hersch Nicholas & Johanna Catherine Maclean, 2019. "The Effect of Medical Marijuana Laws on the Health and Labor Supply of Older Adults: Evidence from the Health and Retirement Study," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(2), pages 455-480, March.
    7. Hersch Nicholas, Lauren & Maclean, J. Catherine, 2017. "The Effect of Medical Marijuana Laws on the Labor Supply of Older Adults: Evidence from the Health and Retirement Study," IZA Discussion Papers 10489, Institute of Labor Economics (IZA).
    8. Sarah Hamersma & Johanna Catherine Maclean, 2018. "Insurance Expansions and Children’s Use of Substance Use Disorder Treatment," NBER Working Papers 24499, National Bureau of Economic Research, Inc.

    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. Jan C. Ours & Jenny Williams, 2015. "Cannabis Use And Its Effects On Health, Education And Labor Market Success," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 993-1010, December.
    2. Chakraborty Avinandan & Doremus Jacqueline & Stith Sarah, 2021. "The effects of recreational cannabis access on labor markets: evidence from Colorado," IZA Journal of Labor Economics, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 10(1), pages 1-86, January.
    3. Michael T. French & Ioana Popovici, 2011. "That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research," Health Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 127-146, February.
    4. Joseph J. Sabia & Jeffrey Swigert & Timothy Young, 2017. "The Effect of Medical Marijuana Laws on Body Weight," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 6-34, January.
    5. Mezza, Alvaro & Buchinsky, Moshe, 2021. "Illegal drugs, education, and labor market outcomes," Journal of Econometrics, Elsevier, vol. 223(2), pages 454-484.
    6. Pierre Kébreau Alexandre & Michael T. French, 2004. "Further Evidence on the Labor Market Effects of Addiction: Chronic Drug Use and Employment in Metropolitan Miami," Contemporary Economic Policy, Western Economic Association International, vol. 22(3), pages 382-393, July.
    7. Ziggy MacDonald, 2004. "What Price Drug Use? The Contribution of Economics to an Evidence‐Based Drugs Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 113-152, April.
    8. Jenny Williams & Jan C. van Ours, 2020. "Hazardous or not? Cannabis use and early labor market experiences of young men," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1148-1160, October.
    9. Meinhofer, Angélica & Witman, Allison E. & Hinde, Jesse M. & Simon, Kosali, 2021. "Marijuana liberalization policies and perinatal health," Journal of Health Economics, Elsevier, vol. 80(C).
    10. Williams, Jenny & van Ours, Jan C., 2017. "Early Cannabis Use and School to Work Transition of Young Men," IZA Discussion Papers 10488, Institute of Labor Economics (IZA).
    11. Chu, Yu-Wei Luke & Gershenson, Seth, 2018. "High times: The effect of medical marijuana laws on student time use," Economics of Education Review, Elsevier, vol. 66(C), pages 142-153.
    12. Adams, Scott J. & Heywood, John S. & Ullman, Darin F. & Venkatesh, Shrathinth, 2022. "Social jobs and the returns to drinking," Economics & Human Biology, Elsevier, vol. 46(C).
    13. Jan C. van Ours, 2006. "Cannabis, cocaine and jobs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 897-917.
    14. Nicolas Ziebarth & Markus Grabka, 2009. "In Vino Pecunia? The Association Between Beverage-Specific Drinking Behavior and Wages," Journal of Labor Research, Springer, vol. 30(3), pages 219-244, September.
    15. Pudney, Stephen & Bryan, Mark & DelBono, Emilia, 2013. "Licensing and regulation of the cannabis market in England and Wales: Towards a cost-benefit analysis," MPRA Paper 50365, University Library of Munich, Germany.
    16. Anna Choi & Dhaval Dave & Joseph J. Sabia, 2016. "Smoke Gets in Your Eyes: Medical Marijuana Laws and Tobacco Use," NBER Working Papers 22554, National Bureau of Economic Research, Inc.
    17. Pinka Chatterji & Jeffrey DeSimone, 2006. "High School Alcohol Use and Young Adult Labor Market Outcomes," NBER Working Papers 12529, National Bureau of Economic Research, Inc.
    18. Beau Kilmer & Rosalie Liccardo Pacula, 2010. "Preventing Drug Use," NBER Chapters, in: Targeting Investments in Children: Fighting Poverty When Resources Are Limited, pages 181-220, National Bureau of Economic Research, Inc.
    19. Chu, Yu-Wei Luke & Gershenson, Seth, 2018. "High times: The effect of medical marijuana laws on student time use," Economics of Education Review, Elsevier, vol. 66(C), pages 142-153.
    20. Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.

    More about this item

    Keywords

    medical marijuana laws; productivity; wages;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:dp9831. See general information about how to correct material in RePEc.

    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. RePEc uses bibliographic data supplied by the respective publishers.