A flexible finite-horizon identification of technology shocks
Recent empirical studies using infinite horizon long-run restrictions question the validity of the technology-driven real business cycle hypothesis. These results have met with their own controversy, stemming from their sensitivity to changes in model specification and the general poor performance of long run restrictions in Monte Carlo experiments. We propose a alternative identification that maximizes the contribution of technology shocks to the forecast error variance of labor productivity at a long, but finite horizon. In small samples, our identification outperforms its infinite horizon counterpart by producing less biased impulse responses and technology shocks that are more highly correlated with the technology shocks from the underlying model. For U.S. data, we show that the negative hours response is not robust to allowing a greater role for non-technology shocks in the forecast error variance share at a ten year horizon.
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- Christopher A. Sims & Tao Zha, 1995.
"Error bands for impulse responses,"
95-6, Federal Reserve Bank of Atlanta.
- Watson, Mark W, 1993.
"Measures of Fit for Calibrated Models,"
Journal of Political Economy,
University of Chicago Press, vol. 101(6), pages 1011-41, December.
- Christopher A. Sims & Harald Uhlig, 1988.
"Understanding unit rooters: a helicopter tour,"
Discussion Paper / Institute for Empirical Macroeconomics
4, Federal Reserve Bank of Minneapolis.
- Jon Faust & Eric M. Leeper, 1994.
"When do long-run identifying restrictions give reliable results?,"
International Finance Discussion Papers
462, Board of Governors of the Federal Reserve System (U.S.).
- Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-53, July.
- Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," Working Paper 94-2, Federal Reserve Bank of Atlanta.
- Ramey, Valerie A & Francis, Neville, 2002.
"Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted,"
University of California at San Diego, Economics Working Paper Series
qt6x80k3nx, Department of Economics, UC San Diego.
- Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
- V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2005.
"A critique of structural VARs using real business cycle theory,"
631, Federal Reserve Bank of Minneapolis.
- V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2004. "A Critique of Structural VARs Using Real Business Cycle Theory," Levine's Bibliography 122247000000000518, UCLA Department of Economics.
- Susanto Basu & John Fernald & Miles Kimball, 2004.
"Are Technology Improvements Contractionary?,"
NBER Working Papers
10592, National Bureau of Economic Research, Inc.
- Susanto Basu & John Fernald & Miles Kimball, 1998. "Are technology improvements contractionary?," International Finance Discussion Papers 625, Board of Governors of the Federal Reserve System (U.S.).
- Susanto Basu & John Fernald & Miles Kimball, 2002. "Are Technology Improvements Contractionary?," Harvard Institute of Economic Research Working Papers 1986, Harvard - Institute of Economic Research.
- Susanto Basu & John Fernald & Miles Kimball, 2004. "Are technology improvements contractionary?," Working Paper Series WP-04-20, Federal Reserve Bank of Chicago.
- Christopher J. Erceg & Luca Guerrieri, 2004.
"Can Long-Run Restrictions Identify Technology Shocks?,"
Computing in Economics and Finance 2004
3, Society for Computational Economics.
- Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
- Christopher Erceg & Luca Guerrieri & Christopher Gust, 2004. "Can long-run restrictions identify technology shocks?," International Finance Discussion Papers 792, Board of Governors of the Federal Reserve System (U.S.).
- Barbara Rossi & Elena Pesavento, 2004. "Do Technology Shocks Drive Hours Up or Down?," Econometric Society 2004 North American Summer Meetings 96, Econometric Society.
- Uhlig, Harald, 1999.
"What are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure,"
CEPR Discussion Papers
2137, C.E.P.R. Discussion Papers.
- Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
- Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
- Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
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