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A NOTE ON DEMAND AND SUPPLY FACTORS IN MANUFACTURING OUTPUT ASYMMETRIES

Published online by Cambridge University Press:  01 April 2009

Oleg Korenok ,
Bruce Mizrach  and
Stanislav Radchenko
Oleg Korenok
Affiliation:
Virginia Commonwealth University
Bruce Mizrach*
Affiliation:
Rutgers University
Stanislav Radchenko
Affiliation:
University of North Carolina at Charlotte
*
Address correspondence to: Bruce Mizrach, Department of Economics, Rutgers University, New Brunswick, NJ 08901, USA; e-mail: [email protected].
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Abstract

In a Markov switching framework, we show that the duration of recessions is significantly shorter than the duration of expansions in 11 manufacturing sectors, and in aggregate durables and manufacturing output. We find two leading indicators, consumer expectations and the term spread, act as important demand-driven forces behind asymmetry.

Keywords

AsymmetryIndustryMarkov SwitchingLeading Indicators
Type
Notes
Information
Macroeconomic Dynamics , Volume 13 , Issue 2 , April 2009 , pp. 263 - 277
Copyright
Copyright © Cambridge University Press 2009

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References

REFERENCES

Ball, Larry and Mankiw, N. Gregory (1995) Relative price changes as aggregate supply shocks. Quarterly Journal of Economics 110, 161–193.CrossRefGoogle Scholar
Bidarkota, Prasad (1999) Sectoral investigation of asymmetries in the conditional mean dynamics of the real U.S. GDP. Studies in Nonlinear Dynamics & Econometrics 3 (4), Article 2.Google Scholar
Blinder, Alan (1986) Can the production smoothing model of inventories be saved? Quarterly Journal of Economics 101, 431–454.CrossRefGoogle Scholar
Chauvet, Marcelle, Juhn, Chinhui, and Potter, Simon (2002) Markov switching in disaggregate unemployment rates. Empirical Economics 27, 205–232.CrossRefGoogle Scholar
Clements, Michael and Krolzig, Hans-Martin (2002) Can oil shocks explain asymmetries in the US business cycle? Empirical Economics 27, 185–204.CrossRefGoogle Scholar
Clements, Michael P. and Krolzig, Hans-Martin (2003) Business cycle asymmetries: Characterization and testing based on Markov-switching autoregressions. Journal of Business and Economic Statistics 21, 196–211.CrossRefGoogle Scholar
Davis, Steven J. and Haltiwanger, John (2001) Sectoral job creation and destruction responses to oil price changes. Journal of Monetary Economics 48, 468–512.CrossRefGoogle Scholar
Fok, Dennis, Franses, Philip Hans, and van Dijk, Dick (2005) A multi-level panel STAR model for US sectoral production. Journal of Applied Econometrics 20, 811–827.CrossRefGoogle Scholar
Hamilton, James (1983) Oil and the macroeconomy since World War II. Journal of Political Economy 91, 228–248.CrossRefGoogle Scholar
Hamilton, James (2003) What is an oil shock? Journal of Econometrics 113, 363–398.CrossRefGoogle Scholar
Hooker, Mark A. (2002) Are oil shocks inflationary? Asymmetric and nonlinear specifications versus changes in regime. Journal of Money, Credit and Banking 34, 540–561.CrossRefGoogle Scholar
Horvath, M. (2000) Sectoral shocks and aggregate fluctuations. Journal of Monetary Economics 45, 69–106.CrossRefGoogle Scholar
Kim, Chang Jin, and Nelson, Charles R. (1998) State Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications. Cambridge, MA: MIT Press.Google Scholar
Krolzig, Hans-Martin and Sensier, Marianne (2000) A disaggregated Markov switching model of the business cycle in U.K. manufacturing. Manchester School 68, 442–460.CrossRefGoogle Scholar
Lee, Kiseok, Ni, Shawn, and Ratti, Ronald (1995) Oil shocks and the macroeconomy: The role of price variability. Energy Journal 16, 39–56.CrossRefGoogle Scholar
McQueen, Grant and Thorley, Steven (1993) Asymmetric business cycle turning points. Journal of Monetary Economics 31, 341–362.CrossRefGoogle Scholar
Nakatsuma, Teruo (2000) Bayesian Analysis of ARMA—GARCH models: A Markov chain sampling approach. Journal of Econometrics 95, 57–69.CrossRefGoogle Scholar
Raymond, Jennie E. and Rich, Robert (1997) Oil and the macroeconomy: A Markov state-switching approach. Journal of Money, Credit and Banking 29, 193–213. Erratum 29, 555.CrossRefGoogle Scholar
Razzak, Weshah (2001) Business cycle asymmetries: International evidence. Review of Economic Dynamics 4, 230–243.CrossRefGoogle Scholar
Rothman, Philip (2003) Reconsideration of the Markov Chain Evidence on Unemployment Rate Asymmetry. Working paper, Department of Economics, East Carolina University.CrossRefGoogle Scholar
Schuh, Scott and Triest, R. K. (1998) Job reallocation and the business cycle: New facts and old debate. In Fuhrer, Jeffrey and Schuh, Scott (eds.), What Causes Business Cycles. Boston Federal Reserve Bank Conference Volume 42, 271–337.Google Scholar
Sichel, Daniel E. (1993) Business cycle asymmetry: A deeper look. Economic Inquiry 31, 224–236.CrossRefGoogle Scholar
Stock, James and Watson, Mark (2002) Has the business cycle changed and why? In Gertler, Mark and Rogoff, Ken (eds.), NBER Macroeconomics Annual, pp. 159–218. Cambridge, MA: MIT Press.Google Scholar