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Countercyclical Policy and the Speed of Recovery after Recessions

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  • NEVILLE FRANCIS
  • LAURA E. JACKSON
  • MICHAEL T. OWYANG

Abstract

We consider policies intended to accelerate recoveries by analyzing the duration of recoveries of U.S. states. Studying multiple recessions for a state and multiple states for a recession controls for differences in the economic conditions and the causes of recessions. Expansionary monetary policy at the national level helps to stimulate the exit of individual states from recession. Exogenous measures of decreases in taxes or targeted increases in federal spending reduce state recovery times, while ambient economic conditions (other states in the same region suffering from recession, the length of the preceding recession, and increases in oil prices) extend recovery times.

Suggested Citation

  • Neville Francis & Laura E. Jackson & Michael T. Owyang, 2018. "Countercyclical Policy and the Speed of Recovery after Recessions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(4), pages 675-704, June.
  • Handle: RePEc:wly:jmoncb:v:50:y:2018:i:4:p:675-704
    DOI: 10.1111/jmcb.12477
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    1. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    3. Carlino, Gerald A. & Inman, Robert P., 2013. "Local deficits and local jobs: Can US states stabilize their own economies?," Journal of Monetary Economics, Elsevier, vol. 60(5), pages 517-530.
    4. Christina D. Romer & David H. Romer, 2010. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
    5. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    6. Chang‐Jin Kim & James Morley & Jeremy Piger, 2005. "Nonlinearity and the permanent effects of recessions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 291-309.
    7. Gerald Carlino & Keith Sill, 2001. "Regional Income Fluctuations: Common Trends And Common Cycles," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 446-456, August.
    8. Gerald A. Carlino & Robert P. Inman, 2013. "Macro fiscal policy in economic unions: states as agents," Working Papers 13-40, Federal Reserve Bank of Philadelphia.
    9. Theodore M. Crone, 2005. "An Alternative Definition of Economic Regions in the United States Based on Similarities in State Business Cycles," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 617-626, November.
    10. Robert J. Gordon, 1993. "The Jobless Recovery: Does It Signal a New Era of Productivity-led Growth?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 24(1), pages 271-316.
    11. Katz, Lawrence F. & Meyer, Bruce D., 1990. "The impact of the potential duration of unemployment benefits on the duration of unemployment," Journal of Public Economics, Elsevier, vol. 41(1), pages 45-72, February.
    12. Emi Nakamura & J?n Steinsson, 2014. "Fiscal Stimulus in a Monetary Union: Evidence from US Regions," American Economic Review, American Economic Association, vol. 104(3), pages 753-792, March.
    13. Michael T. Owyang & Jeremy Piger & Howard J. Wall, 2005. "Business Cycle Phases in U.S. States," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 604-616, November.
    14. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    15. W. R. Gilks & N. G. Best & K. K. C. Tan, 1995. "Adaptive Rejection Metropolis Sampling Within Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 44(4), pages 455-472, December.
    16. Kiefer, Nicholas M., 1985. "Specification diagnostics based on Laguerre alternatives for econometric models of duration," Journal of Econometrics, Elsevier, vol. 28(1), pages 135-154, April.
    17. Stacey L. Schreft & Aarti Singh, 2003. "A closer look at jobless recoveries," Economic Review, Federal Reserve Bank of Kansas City, vol. 88(Q II), pages 45-73.
    18. James D. Hamilton & Michael T. Owyang, 2012. "The Propagation of Regional Recessions," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 935-947, November.
    19. W. R. Gilks & P. Wild, 1992. "Adaptive Rejection Sampling for Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(2), pages 337-348, June.
    20. Hamilton, James D., 2011. "Calling recessions in real time," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1006-1026, October.
    21. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    22. Pedro Portugal & Olivier Blanchard, 2001. "What Hides Behind an Unemployment Rate: Comparing Portuguese and U.S. Labor Markets," American Economic Review, American Economic Association, vol. 91(1), pages 187-207, March.
    23. Kettunen, Juha, 1997. "Education and unemployment duration," Economics of Education Review, Elsevier, vol. 16(2), pages 163-170, April.
    24. Bo E. Honoré, 1993. "Identification Results for Duration Models with Multiple Spells," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 241-246.
    25. P. J. Brown & M. Vannucci & T. Fearn, 1998. "Multivariate Bayesian variable selection and prediction," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(3), pages 627-641.
    26. Michael J. Dueker, 2006. "Using cyclical regimes of output growth to predict jobless recoveries," Review, Federal Reserve Bank of St. Louis, vol. 88(Mar), pages 145-154.
    27. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    28. Mark E. Schweitzer, 2003. "Another jobless recovery?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Mar.
    29. Mark Partridge & Dan Rickman, 1997. "The Dispersion of US State Unemployment Rates: The Role of Market and Non-market Equilibrium Factors," Regional Studies, Taylor & Francis Journals, vol. 31(6), pages 593-606.
    30. Kathryn Koenders & Richard Rogerson, 2005. "Organizational dynamics over the business cycle: a view on jobless recoveries," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 555-580.
    31. Nickell, Stephen J, 1979. "Estimating the Probability of Leaving Unemployment," Econometrica, Econometric Society, vol. 47(5), pages 1249-1266, September.
    32. Daniel Aaronson & Ellen R. Rissman & Daniel G. Sullivan, 2004. "Assessing the jobless recovery," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 28(Q II), pages 2-21.
    33. Gary Wagner & Russell Sobel, 2006. "State budget stabilization fund adoption: Preparing for the next recession or circumventing fiscal constraints?," Public Choice, Springer, vol. 126(1), pages 177-199, January.
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    2. Travis J. Berge & Damjan Pfajfar, 2019. "Duration Dependence, Monetary Policy Asymmetries, and the Business Cycle," Finance and Economics Discussion Series 2019-020, Board of Governors of the Federal Reserve System (U.S.).
    3. M. Ayhan Kose & Naotaka Sugawara & Marco E. Terrones, 2020. "Global Recessions," Working Papers 162, Peruvian Economic Association.
    4. Berge, Travis & De Ridder, Maarten & Pfajfar, Damjan, 2021. "When is the fiscal multiplier high? A comparison of four business cycle phases," European Economic Review, Elsevier, vol. 138(C).
    5. Gonzalo Castañeda & Luis Castro Peñarrieta, 2022. "A Customized Machine Learning Algorithm for Discovering the Shapes of Recovery: Was the Global Financial Crisis Different?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 69-99, March.
    6. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    7. Oana Simona Hudea, 2018. "Faculty of Business and Administration, University of Bucharest, Romania," Manager Journal, Faculty of Business and Administration, University of Bucharest, vol. 28(1), pages 24-32, December.

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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