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RegData 2.2: a panel dataset on US federal regulations

Author

Listed:
  • Patrick A. McLaughlin

    (Mercatus Center at George Mason University)

  • Oliver Sherouse

    (Mercatus Center at George Mason University)

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.

Suggested Citation

  • Patrick A. McLaughlin & Oliver Sherouse, 2019. "RegData 2.2: a panel dataset on US federal regulations," Public Choice, Springer, vol. 180(1), pages 43-55, July.
  • Handle: RePEc:kap:pubcho:v:180:y:2019:i:1:d:10.1007_s11127-018-0600-y
    DOI: 10.1007/s11127-018-0600-y
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    References listed on IDEAS

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    3. Brandon Pizzola, 2018. "Business regulation and business investment: evidence from US manufacturing 1970–2009," Journal of Regulatory Economics, Springer, vol. 53(3), pages 243-255, June.
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    7. Jerry Ellig & Patrick A. McLaughlin, 2016. "The Regulatory Determinants of Railroad Safety," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 49(2), pages 371-398, September.
    8. Casey B. Mulligan & Andrei Shleifer, 2005. "The Extent of the Market and the Supply of Regulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1445-1473.
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    Cited by:

    1. Chambers, Dustin & O'Reilly, Colin, 2022. "Regulation and income inequality in the United States," European Journal of Political Economy, Elsevier, vol. 72(C).
    2. de Lucio, Juan & Mora-Sanguinetti, Juan S., 2022. "Drafting “better regulation”: The economic cost of regulatory complexity," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 163-183.
    3. Al-Hadi, Ahmed & Habib, Ahsan, 2023. "Consequences of state-level regulations in accounting, finance, and corporate governance: A review," Advances in accounting, Elsevier, vol. 60(C).

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