The Cumulative Cost of Regulations
Patrick McLaughlin () and
Pietro Peretto ()
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Bentley Coffey: University of South Carolina
Review of Economic Dynamics, 2020, vol. 38, 1-21
We estimate the effects of federal regulation on the value added to GDP for a panel of 22 industries in the United States over a period of 35 years (1977â€“2012). The structure of our linear specification is explicitly derived from the closed-form solutions of a multisector Schumpeterian model of endogenous growth. We allow regulation to enter the specification in a fairly flexible manner. Our estimates of the model's parameters are then identified from covariation in some standard sector-specific data joined with RegData 2.2, which measures the incidence of regulations on industries based on a text analysis of federal regulatory code. With the model's parameters fitted to real data, we confidently conduct counterfactual experiments on alternative regulatory environments. Our results show that regulatory restrictions have had a net effect of dampening economic growth by approximately 0.8 percent per annum since 1980. Had regulation been held constant at levels observed in 1980, our model predicts that the economy would have been nearly 25 percent larger by 2012 (i.e., regulatory growth since 1980 cost GDP $4 trillion in 2012, or about $13,000 per capita). (Copyright: Elsevier)
Keywords: Regulation; Economic growth; Macroeconomic performance; Endogenous growth; Schumpeterian growth; RegData; Costs of regulation; Total cost of regulation; Federal regulation; Costs of entry; Productivity; Total factor productivity; Labor productivity (search for similar items in EconPapers)
JEL-codes: E20 L50 O40 O30 (search for similar items in EconPapers)
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