An endogenously clustered factor approach to international business cycles
AbstractFactor models have become useful tools for studying international business cycles. Block factor models [e.g., Kose, Otrok, and Whiteman (2003)] can be especially useful as the zero restrictions on the loadings of some factors may provide some economic interpretation of the factors. These models, however, require the econometrician to predefine the blocks, leading to potential misspecification. In Monte Carlo experiments, we show that even small misspecifica- tion can lead to substantial declines in t. We propose an alternative model in which the blocks are chosen endogenously. The model is estimated in a Bayesian framework using a hierarchi- cal prior, which allows us to incorporate series-level covariates that may influence and explain how the series are grouped. Using similar international business cycle data as Kose, Otrok, and Whiteman, we find our country clusters differ in important ways from those identified by geography alone. In particular, we find that similarities in institutions (e.g., legal systems, language diversity) may be just as important as physical proximity for analyzing business cycle comovements.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2012-014.
Date of creation: 2012
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-05-15 (All new papers)
- NEP-ECM-2012-05-15 (Econometrics)
- NEP-MAC-2012-05-15 (Macroeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2005.
"Understanding the Evolution of World Business Cycles,"
IMF Working Papers
05/211, International Monetary Fund.
- Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
- Todd E. Clark & Eric van Wincoop, 1999.
"Borders and business cycles,"
91, Federal Reserve Bank of New York.
- Emanuel Moench & Serena Ng & Simon Potter, 2009. "Dynamic hierarchical factor models," Staff Reports 412, Federal Reserve Bank of New York.
- Robert F. Engle & Sharon Kozicki, 1990.
"Testing For Common Features,"
NBER Technical Working Papers
0091, National Bureau of Economic Research, Inc.
- Chib, Siddhartha & Greenberg, Edward, 1994. "Bayes inference in regression models with ARMA (p, q) errors," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 183-206.
- M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
- Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, June.
- Marianne Baxter & Michael A. Kouparitsas, 2004.
"Determinants of Business Cycle Comovement: A Robust Analysis,"
NBER Working Papers
10725, National Bureau of Economic Research, Inc.
- Baxter, Marianne & Kouparitsas, Michael A., 2005. "Determinants of business cycle comovement: a robust analysis," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 113-157, January.
- Marianne Baxter & Michael Kouparitsas, 2004. "Determinants of business cycle comovement: a robust analysis," Working Paper Series WP-04-14, Federal Reserve Bank of Chicago.
- 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.
- James D. Hamilton & Michael T. Owyang, 2011. "The Propagation of Regional Recessions," NBER Working Papers 16657, National Bureau of Economic Research, Inc.
- James D. Hamilton & Michael T. Owyang, 2009. "The propagation of regional recessions," Working Papers 2009-013, Federal Reserve Bank of St. Louis.
- Chib S. & Jeliazkov I., 2001. "Marginal Likelihood From the Metropolis-Hastings Output," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 270-281, March.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999.
"The Generalized Dynamic Factor Model: Identification and Estimation,"
CEPR Discussion Papers
2338, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics,
Elsevier, vol. 132(1), pages 169-194, May.
- Sylvia Kaufmann, 2008.
"Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data,"
144, Oesterreichische Nationalbank (Austrian Central Bank).
- Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
- Frühwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2004.
"Model-based Clustering of Multiple Time Series,"
CEPR Discussion Papers
4650, C.E.P.R. Discussion Papers.
- Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 393-95, October.
- Natalia Ponomareva & Hajime Katayama, 2010. "Does the version of the Penn World Tables matter? An analysis of the relationship between growth and volatility," Canadian Journal of Economics, Canadian Economics Association, vol. 43(1), pages 152-179, February.
- Chib, Siddhartha, 1993. "Bayes regression with autoregressive errors : A Gibbs sampling approach," Journal of Econometrics, Elsevier, vol. 58(3), pages 275-294, August.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Xiao Xiaohong) The email address of this maintainer does not seem to be valid anymore. Please ask Xiao Xiaohong to update the entry or send us the correct address.
If references are entirely missing, you can add them using this form.