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Regulation and the Macroeconomy

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  • John W. Dawson

Abstract

This article uses the number of pages in the Code of Federal Regulations to investigate the empirical relationship between federal regulation and macroeconomic performance in the U.S. The analysis uses an aggregate production framework to study the co-movement of output and the factors of production that results from regulation. The use of cointegration methodology overcomes some shortcomings of traditional techniques. The results suggest that regulation generally is negatively related to aggregate economic performance in both the short run and the long run. Some specific areas of regulation are also found to have important long-run effects, some positive and some negative. Copyright 2007 Blackwell Publishing Ltd..

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Kyklos.

Volume (Year): 60 (2007)
Issue (Month): 1 (02)
Pages: 15-36
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Handle: RePEc:bla:kyklos:v:60:y:2007:i:1:p:15-36

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  1. John W. Dawson & John J. Seater, 2005. "The Macroeconomic Effects of Federal Regulation," Working Papers 05-02, Department of Economics, Appalachian State University.
  2. Mulligan, Casey B. & Shleifer, Andrei, 2004. "Population and Regulation," Working paper 274, Regulation2point0.
  3. James H. Stock & Mark W. Watson, 1991. "A simple estimator of cointegrating vectors in higher order integrated systems," Working Paper Series, Macroeconomic Issues 91-3, Federal Reserve Bank of Chicago.
  4. Nunes, Luis C & Newbold, Paul & Kuan, Chung-Ming, 1997. "Testing for Unit Roots with Breaks: Evidence on the Great Crash and the Unit Root Hypothesis Reconsidered," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 435-48, November.
  5. Lawrence J. Christiano, 1988. "Searching For a Break in GNP," NBER Working Papers 2695, National Bureau of Economic Research, Inc.
  6. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  7. Lee, Junsoo & Strazicich, Mark C, 2001. " Break Point Estimation and Spurious Rejections with Endogenous Unit Root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(5), pages 535-58, December.
  8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  9. Junsoo Lee & Mark C. Strazicich, 2004. "Minimum LM Unit Root Test with One Structural Break," Working Papers 04-17, Department of Economics, Appalachian State University.
  10. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
  11. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, 07.
  12. Sen, Amit, 2003. "On Unit-Root Tests When the Alternative Is a Trend-Break Stationary Process," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 174-84, January.
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