Barriers to prosperity: the harmful impact of entry regulations on income inequality
Entry regulations, including fees, permits and licenses, can make it prohibitively difficult for low-income individuals to establish footholds in many industries, even at the entry-level. As such, these regulations increase income inequality by either preventing access to higher paying professions or imposing costs on individuals choosing to enter illegally and provide unlicensed services. To estimate this relationship empirically, we combine entry regulations data from the World Bank’s Doing Business Index with various measures of income inequality, including Gini coefficients and income shares to form a panel of 115 countries. We find that countries with more stringent entry regulations tend to experience more income inequality. In countries with average inequality, increasing the number of procedures required to start a new business by one standard deviation is associated with a 7.2% increase in the share of income accruing to the top decile of earners, and a 12.9% increase in the overall Gini coefficient. This result is robust to the measure of inequality, startup regulations, and potential endogeneity. We conclude by offering several policy recommendations designed to minimize the adverse effects of entry regulations.
KeywordsIncome inequality Regulation Entry regulations Doing business Gini coefficient
JEL ClassificationD31 J38 K20
The authors thank Diana Thomas, Stefanie Haeffele-Balch, Ted Bolema, Bill Shughart, Richard Williams, and three anonymous reviewers for helpful comments on early drafts. All mistakes are the authors’ responsibility.
- Calderón, C., Chong, A., & Valdés, R. O. (2004). Labor market regulations and income inequality: Evidence for a panel of countries. IDB Working Paper 514, Inter-American Development Bank, Washington, DC.Google Scholar
- Carpenter, D. M. (2012). Testing the utility of licensing: Evidence from a field experiment on occupational regulation. Journal of Applied Business and Economics, 13, 27–41.Google Scholar
- de Rugy, V. (2014). Occupational licensing: Bad for competition, bad for low-income workers. Mercatus Center Charts, Mercatus Center at George Mason University, Arlington, VA. http://mercatus.org/sites/default/files/derugy-occupation-licensing-final-pdf.pdf.
- de Soto, H. (1989). The other path. New York: Harper & Row Publishers.Google Scholar
- Freedom House. (2014). Freedom in the world 2014. Washington, DC: Freedom House. https://freedomhouse.org/report/freedom-world/freedom-world-2014.
- Friedman, M. (1962). Capitalism and freedom. Chicago: University of Chicago Press.Google Scholar
- Gross, S. J. (1986). Professional licensure and quality: The evidence. Washington, DC: Policy Analysis 79, Cato Institute.Google Scholar
- Hernando, Z. (2012). Seasonal fluctuations and economic growth. Journal of Economic Development, 37, 1–27.Google Scholar
- Holen, A. (1978). The economics of dental licensing. Public Research Institute, Center for Naval Analyses, Alexandria, VA.Google Scholar
- Kleiner, M. M., & Park, K. W. (2010). Battles among licensed occupations: Analyzing government regulations on labor market outcomes for dentists and hygienists. NBER Working Paper 16560.Google Scholar
- Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45, 1–28.Google Scholar
- Lakner, C., & Milanovic, B. (2013). Global income distribution: From the fall of the Berlin Wall to the Great Recession. World Bank Policy Research Working Paper 6719.Google Scholar
- Leon, A. K., & Pfeifer, C. (2013). An empirical note on religiosity and social trust using german survey data. Economics Bulletin, 33, 753–763.Google Scholar
- Mahler, V. A., & McKeever, S. A. (2009). Income inequality in comparative perspective: A cross-national analysis. Prepared for the 21st International Political Science Association World Congress of Political Science, Santiago, July 12–16.Google Scholar
- Martin, S. C. (1982). An examination of the economic side effects of the state licensing of pharmacists. Knoxville: University of Tennessee.Google Scholar
- McLaughlin, P. A. (2013). What information could help in analyzing regulation? Is there a problem to be fixed? Testimony before the Commonwealth of Pennsylvania House State Government Committee, Harrisburg, March 19. http://mercatus.org/sites/default/files/McLaughlin-testimony-31913.pdf.
- McLaughlin, P. A., Ellig, J., & Shamoun, D. Y. (2014). Regulatory reform in Florida: An opportunity for greater competitiveness and economic efficiency. Florida State University Business Review, 13, 96–127.Google Scholar
- Nicoletti, G., & Scarpetta, S. (2003). Regulation, productivity and growth: OECD evidence. The World Bank Policy Research Working Paper 2944.Google Scholar
- Olson, M. (1965). The logic of collective action: Public goods and the theory of groups. Cambridge: Harvard University Press.Google Scholar
- Polity IV. (2016). Polity IV annual time-series, 1800–2016. Center for Systemic Peace. http://www.systemicpeace.org/inscr/p4manualv2016.pdf.
- Schneider, F. (2005). Shadow economies of 145 countries all over the world: Estimation results from the period 1999–2003. Discussion Paper, Department of Economics, University of Linz.Google Scholar
- Subrick, J. R. (2007). The legal origins of income inequality. Dissertations, Department of Economics, George Mason University, Fairfax, VA.Google Scholar