Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-20T05:39:25.721Z Has data issue: false hasContentIssue false

THE ROLE OF TRANSITORY AND PERSISTENT SHOCKS IN THE CONSUMPTION CORRELATION AND INTERNATIONAL COMOVEMENT PUZZLES

Published online by Cambridge University Press:  04 June 2013

Tatsuma Wada*
Affiliation:
Wayne State University
*
Address correspondence to: Tatsuma Wada, Department of Economics, Wayne State University, Faculty and Administration Building, 656 W.Kirby St., Detroit, MI 48202, USA; e-mail: [email protected].

Abstract

We study a two-country model with changes in the technological growth rate. Such changes are attributed to transitory and persistent shocks in the growth rate of technology. Cases are considered in which agents in two countries do not have enough information to distinguish between the two types of shocks; gradually, however, the persistence of the shock is recognized through the learning process. Utilizing a set of parameters obtained from U.S. and European productivity growth rates, it is then shown that (i) when persistent shocks affect the two countries identically, there is no consumption-correlation puzzle, and the international comovement puzzle becomes imperceptible; and (ii) even when persistent shocks affect the two countries differently, imperfect information plays an important role in explaining both the consumption-correlation puzzle and the international comovement puzzle (provided transitory shocks are strongly internationally correlated and are relatively larger than persistent shocks).

Type
Articles
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Aguiar, Mark and Gopinath, Gita (2007) Emerging market business cycles: The cycle is the trend. Journal of Political Economy 115 (1), 69102.Google Scholar
Anderson, Brian D.O. and Moore, John B. (1979) Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Anderson, Evan W., Hansen, Lars Peter, McGrattan, Ellen R., and Sargent, Thomas J. (1996) Mechanics of forming and estimating dynamic linear economies. In Amman, Hans M., Kendrick, David A., and Rust, John (eds.), Handbook of Computational Economics, vol. 1, pp. 171252. Amsterdam: North Holland.Google Scholar
Backus, David K., Kehoe, Patrick J., and Kydland, Finn E. (1992) International real business cycles. Journal of Political Economy 101, 745775.CrossRefGoogle Scholar
Backus, David K., Kehoe, Patrick J., and Kydland, Finn E. (1995) International business cycles: Theory and evidence. In Cooley, Thomas F. (ed.), Frontiers of Business Cycle Research, pp. 331356. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Bai, Jushan and Ng, Serena (2002) Determining the number of factors in approximate factor models. Econometrica 70 (1), 191221.CrossRefGoogle Scholar
Baxter, Marianne (1995) International trade and business cycles. In Grossman, Gene M. and Rogoff, Kenneth (eds.), Handbook of International Economics, vol. 3, pp. 18011864. Amsterdam: North Holland.Google Scholar
Baxter, Marianne and Crucini, Mario J. (1993) Explaining saving and investment correlations. American Economic Review 83, 416436.Google Scholar
Baxter, Marianne and Crucini, Mario J. (1995) Business cycles and the asset structure of foreign trade. International Economic Review 36 (4), 821854.Google Scholar
Baxter, Marianne and Farr, Dorsey D. (2005) Variable capital utilization and international business cycles. Journal of International Economics 65, 335347.CrossRefGoogle Scholar
Boileau, Martin (1996) Growth and the international transimission of business cycles. International Economic Review 37 (4), 737756.Google Scholar
Boileau, Martin and Normandin, Michel (2008) Closing international real business cycle models with restricted financial markets. Journal of International Money and Finance 27, 733756.CrossRefGoogle Scholar
Boz, Emine, Daude, Christian, and Durdu, C. Bora (2011) Emerging market business cycles revisited: Learning about the trend. Journal of Monetary Economics, 58 (6–8), 616631.Google Scholar
Canova, Fabio and Ravn, Morten O. (1996) International consumption risk sharing. International Economic Review 37 (3), 573601.CrossRefGoogle Scholar
Edge, Rochelle M., Laubach, Thomas, and Williams, John C. (2007) Learning and shifts in long-run productivity growth. Journal of Monetary Economics 54, 24212438.Google Scholar
Erceg, Christopher J., Guerrieri, Luca, and Gust, Christopher (2006) SIGMA: A new open economy model for policy analysis. International Journal of Central Banking 2 (1), 150.Google Scholar
Fuhrer, Jeffrey C. and Klein, Michael W. (2006) Risky habits: On risk sharing, habit formation, and the interpretation of international consumption correlations. Review of International Economics 14 (4), 722740.CrossRefGoogle Scholar
Garcia-Cicco, Javier, Pancrazi, Roberto, and Uribe, Martín (2010) Real business cycles in emerging countries? American Economic Review 100, 25102531.Google Scholar
Gilchrist, Simon and Saito, Masashi (2007) Expectations, asset prices, and monetary policy: The role of learning. In Campbell, John Y. (ed.), Asset Prices and Monetary Policy, pp. 45102. Chicago: University of Chicago Press.Google Scholar
Golub, Gene H. and Van Loan, Charles F. (1996) Matrix Computations, 3rd ed. Baltimore, MD: Johns Hopkins University Press.Google Scholar
Gouriéroux, Christian and Monfort, Alain (1997) Time Series and Dynamic Models. Cambridge, UK: Cambridge University Press.Google Scholar
Hansen, Lars Peter and Sargent, Thomas J. (2008) Robustness. Princeton, NJ: Princeton University Press.Google Scholar
Harvey, Andrew C. (1989) Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge, UK: Cambridge University Press.Google Scholar
Heathcote, Jonathan and Perri, Fabrizio (2002) Financial autarky and international business cycles. Journal of Monetary Economics 49, 601627.Google Scholar
Heston, Alan, Summers, Robert, and Aten, Bettina (2011) Penn World Table Version 7.0. Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania.Google Scholar
Hodrick, Robert J. and Prescott, Edward C. (1997) Postwar US business cycles: An empirical investigation. Journal of Money, Credit and Banking 29, 116.Google Scholar
Kehoe, Patrick J. and Perri, Fabrizio (2002) International business cycles with endogenous incomplete markets. Econometrica 70 (3), 907928.CrossRefGoogle Scholar
King, Robert G. (1990) Value and capital in the equilibrium business cycle program. In McKenzie, Lionel and Zamagni, Stefano (eds.), Value and Capital: Fifty Years Later, pp. 279309. London: MacMillan.Google Scholar
King, Robert G., Plosser, Charles I., and Rebelo, Sergio T. (1988) Production, growth and business cycles: I. The basic neoclassical model. Journal of Monetary Economics 21, 195232.CrossRefGoogle Scholar
King, Robert G. and Watson, Mark W. (1998) The solution of singular linear difference systems under rational expectations. International Economic Review 39 (4), 10151026.Google Scholar
King, Robert G. and Watson, Mark W. (2002) System reduction and solution algorithm for singular linear difference systems under rational expectations. Computational Economics 20, 5786.CrossRefGoogle Scholar
Kollman, Robert (1996) Incomplete asset markets and the cross-country consumption correlation puzzle. Journal of Economic Dynamics and Control 20, 945961.CrossRefGoogle Scholar
Laub, Alan J. (1979) A Schur method for solving algebraic Riccati equations. IEEE Transactions on Automatic Control 24 (6), 913921.CrossRefGoogle Scholar
Lewis, Karen K. (1996) What can explain the apparent lack of international consumption risk-sharing? Journal of Political Economy 104 (2), 267297.CrossRefGoogle Scholar
Luo, Yulei, Nie, Jun, and Young, Eric R. (2010) Robust Control, Informational Frictions, and International Consumption Correlations. Research working paper RWP10-16, Federal Reserve Bank of Kansas City.Google Scholar
Maffezzoli, Marco (2000) Human capital and international real business cycles. Review of Economic Dynamics 3, 137165.CrossRefGoogle Scholar
Pakko, Michael R. (2002) What happens when the technology growth trend changes? Transition dynamics, capital growth, and the “New Economy.” Review of Economic Dynamics 5, 376407.Google Scholar
Pakko, Michael R. (2004) A spectral analysis of the cross-country consumption correlation puzzle. Economics Letters 84, 341347.Google Scholar
Perron, Pierre (1989) The great crash, the oil price shock and the unit root hypothesis. Econometrica 57, 13611401.Google Scholar
Phillips, Peter C.B. and Ouliaris, Sam (1990) Asymptotic properties of residual based tests for cointegration. Econometrica 58, 165193.CrossRefGoogle Scholar
Rabanal, Pau, Rubio-Ramirez, Juan F., and Tuesta, Vicente (2010) Cointegrated TFP processes and international business cycles. Journal of Monetary Economics 58 (2), 156171.Google Scholar
Schmitt-Grohé, Stephanie and Uribe, Martín (2003) Closing small open economy models. Journal of International Economics 61, 163185.Google Scholar
Shumway, Robert H. and Stoffer, David S. (2006) Time Series Analysis and Its Applications With R Examples, 2nd ed.New York: Springer.Google Scholar
Sims, Christopher A. (2003) Implications of rational inattention. Journal of Monetary Economics 50 (3), 665690.CrossRefGoogle Scholar
Stockman, Alan C. and Tesar, Linda L. (1995) Tastes and technology in a two-country model of the business cycle: Explaining international comovements. American Economic Review 85 (1), 168185.Google Scholar
Uzawa, Hirofumi (1968) Time preference, the consumption function and optimum asset holdings. In Wolfe, James N. (ed.), Value, Capital and Growth: Papers in Honor of Sir John Hicks, pp. 485504. Edinburgh: University of Edinburgh Press.Google Scholar
Xiao, Wei (2004) Can indeterminacy resolve the cross-country correlation puzzle? Journal of Economic Dynamics and Control 28, 23412366.Google Scholar