Public Choice

, Volume 180, Issue 1–2, pp 1–10 | Cite as

Regressive effects of regulation

  • Diana W. ThomasEmail author


Regulation of health and safety has placed an unacknowledged burden on low-income households and workers. Billions of dollars are spent every year on regulations that seek to reduce life-threatening risks that arise from auto travel, air travel, air and water pollution, food, drugs and construction; the list goes on. Today, some form of regulation affects nearly every aspect of our lives (Shleifer, in: Kessler (ed) Regulation vs. litigation: perspectives from economics and law, University of Chicago Press, Chicago, 2010). All of the regulatory rules ostensibly intend to make consumers or workers better off, but the cost of regulation usually is borne by the same consumers and workers, reducing their ranges of choice; it therefore crowds out private spending. The crowding out effect can be particularly detrimental for low-income households. This special issue explores the various ways in which regulation may have such regressive effects as well as the political determinants of how regulation, despite its unfavorable consequences for low-income households, may come about.


Regulation Regressive effects Income 

JEL Classification

D72 D31 H11 



I would like to thank Dr. William F. Shughart III for his helpful comments and suggestions on all the papers in this special issue. In addition, I would like to thank the contributors for their thoughtful and well-developed articles as well as their participation in several rounds of reviews and conference presentations leading up to the publication of this special issue. Finally, I would like to thank the Mercatus Center at George Mason University for their support of several of the contributions in this special issue including this introduction.


  1. Alm, J., Sennoga, E., Skidmore, M., & U.S. Census Bureau and Bureau of Labor Statistics. (2008). Perfect competition, urbanization, and tax incidence in the retail gasoline market. Economic Inquiry, 47(1), 118–134.CrossRefGoogle Scholar
  2. Baumol, W. J., & Oates, W. E. (1975). The theory of environmental policy. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  3. Chapman, K., & Hariharan, G. (1994). Controlling for causality in the link from income to mortality. Journal of Risk and Uncertainty, 8, 85–93.Google Scholar
  4. Clausing, K. A. (2013). Who pays the corporate tax in a global economy? National Tax Journal, 66(1), 151–184.CrossRefGoogle Scholar
  5. Cronin, J. A., Lin, E. Y., Power, L., & Cooper, M. (2013). Distributing the corporate income tax: Revised U.S. Treasury methodology. National Tax Journal, 66(1), 239–262.CrossRefGoogle Scholar
  6. Department of Transportation NH. (2010). Federal motor vehicle safety standard, rearview mirrors; federal motor vehicle safety standard, low-speed vehicle phase-in reporting requirements. Federal Register, 75(234), 76186–76250.Google Scholar
  7. Doll, R., & Peto, R. (1981). The causes of cancer: Quantitative estimates of avoidable risks of cancer in the United States today. Journal of the National Cancer Institute, 66(6), 1192–1308.CrossRefGoogle Scholar
  8. Duleep, H. (1986). Measuring the effect of income on adult mortality using longitudinal administrative record data. The Journal of Human Resources, 21, 238–251.CrossRefGoogle Scholar
  9. Evans, W. N., & Viscusi, K. W. (1993). Income effects and the value of health. The Journal of Human Resources, 28(3), 497–518.CrossRefGoogle Scholar
  10. Gorry, D., & Thomas, D. W. (2017). Regulation and the cost of childcare. Applied Economics, 49(41), 4138–4147.CrossRefGoogle Scholar
  11. Graham, J., Hung-Chang, B., & Evans, J. (1992). Poorer is riskier. Risk Analysis, 12, 333–337.CrossRefGoogle Scholar
  12. Gravelle, J. (2013). Corporate tax incidence: Review of general equilibrium estimates and analysis. National Tax Journal, 66(1), 185–214.CrossRefGoogle Scholar
  13. Keeney, R. L. (2008). Personal decisions are the leading cause of death. Operations Research, 56(6), 1335–1347.CrossRefGoogle Scholar
  14. Liu, L., & Altshuler, R. (2013). Measuring the burden of the corporate income tax under imperfect competition. National Tax Journal, 66(1), 215–238.CrossRefGoogle Scholar
  15. Lutter, R., Morrall, J. F., & Viscusi, K. W. (1999). The cost-per-life-saved cutoff for safety enhancing regulations. Economic Inquiry, 37(4), 599–608.CrossRefGoogle Scholar
  16. Marion, J., & Muehlegger, E. (2011). Fuel tax incidence and supply conditions. Journal of Public Economics, 95(9–10), 1202–1212.CrossRefGoogle Scholar
  17. Mathers, J. (2007). Overview of genes, diet, and cancer. Genes & Nutrition, 2(1), 67–70.CrossRefGoogle Scholar
  18. Morrall, J. F. (2003). Savings lives: A review of the record. Office of Management and Budget Working Paper, 03-6.Google Scholar
  19. National Highway Traffic Safety Administration. (2014). Retrieved July 12th, 2014, from NHTSA announces final rule requiring rear visibility technology.
  20. Shleifer, A. (2010). Efficient regulation. In D. Kessler (Ed.), Regulation vs. litigation: Perspectives from economics and law (pp. 27–43). Chicago: University of Chicago Press.Google Scholar
  21. Stampfer, M. J., Hu, F. B., Manson, J. E., Rimm, E. B., & Willett, W. C. (2000). Primary prevention of coronary heart disease in women through diet and lifestyle. The New England Journal of Medicine, 343(1), 16–22.CrossRefGoogle Scholar
  22. Stigler, G. J. (1971). The theory of economic regulation. The Bell Journal of Eocnomics and Managment Science, 2(1), 3–21.Google Scholar
  23. Tengs, T. O., Adams, M. E., Pliskin, J. S., Gelb Safran, D., Siegel, J. E., Weinstein, M. C., et al. (1995). Five-hundred life-saving interventions and their cost effectivenss. Society for Risk Analysis, 15, 369–390.CrossRefGoogle Scholar
  24. Tullock, G. (1967). The welfare cost of tariffs, monopolies, and theft. Western Economic Journal, 5, 224–232.Google Scholar
  25. Viscusi, K. W. (1994). Risk-risk analysis. Journal of Risk and Uncertainty, 8, 5–17.CrossRefGoogle Scholar
  26. Wildavsky, A. (1981). Richer is safer. Financial Analysts Journal, 37(2), 19–22.CrossRefGoogle Scholar
  27. Williams, D. R. (1990). Socioeconomic differentials in health: A review and redirection. Social Psychology Quarterly, 53, 81–99.CrossRefGoogle Scholar
  28. World Cancer Research Fund/American Institute for Cancer Research. (2007). Food, nutrition, physical activity, and the prevention of cancer: A global perspective. Washington, DC: AICR.Google Scholar
  29. Xu, J., Murphy, S. L., Kochanek, K. D., Bastian, B., & Aria, E. (2018). Deaths: Final data for 2016. National vital statistics reports.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute for Economic InquiryCreighton UniversityOmahaUSA

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