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RegData 2.2: a panel dataset on US federal regulations

  • Patrick A. McLaughlin
  • Oliver Sherouse
Article

Abstract

How much regulation exists? Can short- and long-term growth trends in regulation be identified? Which agencies produce the most regulation? Are some sectors of the economy more regulated than others, and how big are the differences? RegData 2.2, a recent panel dataset from the RegData Project at George Mason University’s Mercatus Center, offers answers to these questions and more. RegData 2.2 quantifies various aspects of US federal regulations by industry, by agency, and over time. The resulting datasets include metrics on volumes, restrictiveness, and relevance of federal regulations to different economic sectors and industries. RegData datasets are publicly released at http://quantgov.org. We explain the features of and methodology underlying RegData 2.2.

Keywords

RegData Regulation Policy analytics QuantGov Machine learning 

References

  1. Al-Ubaydli, O., & McLaughlin, P. A. (2015). RegData: A numerical database on industry- specific regulations for all United States industries and federal regulations, 1997–2012. Regulation & Governance, 11(1), 109–123.CrossRefGoogle Scholar
  2. Bailey, J. B., & Thomas, D. W. (2017). Regulating away competition: The effect of regulation on entrepreneurship and employment. Journal of Regulatory Economics, 52(3), 237–254.CrossRefGoogle Scholar
  3. Bailey, J. B., Thomas, D. W., & Anderson, J. R. (2018). Regressive effects of regulation on wages. Public Choice.  https://doi.org/10.1007/s11127-018-0517-5.Google Scholar
  4. Chambers, D., Collins, C. A., & Krause, A. (2018a). How do federal regulations affect consumer prices?. An analysis of the regressive effects of regulation: Public Choice.  https://doi.org/10.1007/s11127-017-0479-z.Google Scholar
  5. Chambers, D., McLaughlin, P. A., & Stanley, L. (2018b). Barriers to prosperity: The harmful impact of entry regulations on income inequality. Public Choice.  https://doi.org/10.1007/s11127-018-0498-4.Google Scholar
  6. Chambers, D., McLaughlin, P. A., & Stanley, L. (2018c). Regulation and poverty. Public Choice, this issue.Google Scholar
  7. Coffey, B., McLaughlin, P. A., & Tollison, R. D. (2012). Regulators and redskins. Public Choice, 153, 191–204.CrossRefGoogle Scholar
  8. Coglianese, C. (2002). Empirical analysis and administrative law. University of Illinois Law Review, 4, 1111–1138.Google Scholar
  9. Dawson, J. W., & Seater, J. J. (2013). Federal regulation and aggregate economic growth. Journal of Economic Growth, 18(2), 137–177.CrossRefGoogle Scholar
  10. Ellig, J., & McLaughlin, P. A. (2016). The regulatory determinants of railroad safety. Review of Industrial Organization, 49(2), 371–398.CrossRefGoogle Scholar
  11. Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27–8, 861–874.CrossRefGoogle Scholar
  12. Goldschlag, N., & Tabarrok, A. (2018). Is regulation to blame for the decline in American entrepreneurship? Economic Policy, 33(93), 5–44.CrossRefGoogle Scholar
  13. Huang, J., & Ling, C. X. (2005). Using AUC and accuracty in evaluating learning algorithms. IEEE Transactions on Knowledge and Data Engineering, 17–3, 299–310.CrossRefGoogle Scholar
  14. Manish, G. P., & O’Reilly, C. (2018). Banking regulation, regulatory capture, and inequality. Public Choice.  https://doi.org/10.1007/s11127-018-0501-0.Google Scholar
  15. Mulholland, S. E. (2018). Stratification by regulation. Public Choice, this issue.  https://doi.org/10.1007/s11127-018-0597-2.Google Scholar
  16. Mulligan, C., & Shleifer, A. (2005). The extent of the market and the supply of regulation. Quarterly Journal of Economics, 120, 1445–1473.CrossRefGoogle Scholar
  17. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., et al. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830.Google Scholar
  18. Pizzola, B. (2018). Business regulation and business investment: Evidence from US manufacturing 1970–2009. Journal of Regulatory Economics, 53(3), 243–255.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Mercatus Center at George Mason UniversityArlingtonUSA

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