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Analyzing business and financial cycles using multi-level factor models

  • Jörg Breitung
  • Sandra Eickmeier

This paper compares alternative estimation procedures for multi-level factor models which imply blocks of zero restrictions on the associated matrix of factor loadings. We suggest a sequential least squares algorithm for minimizing the total sum of squared residuals and a two-step approach based on canonical correlations that are much simpler and faster than Bayesian approaches previously employed in the literature. Monte Carlo simulations suggest that the estimators perform well in typical sample sizes encountered in the factor analysis of macroeconomic data sets. We apply the methodologies to study international co-movements of business and financial cycles as well as asymmetries over the business cycle in the US.

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File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2014-05/43_2014_breitung_eickmeier.pdf
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Paper provided by Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University in its series CAMA Working Papers with number 2014-43.

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Length: 44 pages
Date of creation: May 2014
Date of revision:
Handle: RePEc:een:camaaa:2014-43
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  1. Hideaki Hirata & M. Ayhan Kose & Chris Otrok, . "Regionalization vs. Globalization," Working Paper 164456, Harvard University OpenScholar.
  2. Eickmeier, Sandra & Hofmann, Boris, 2010. "Monetary policy, housing booms and financial (im)balances," Discussion Paper Series 1: Economic Studies 2010,07, Deutsche Bundesbank, Research Centre.
  3. Breitung, Jörg & Tenhofen, Jörn, 2011. "GLS Estimation of Dynamic Factor Models," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 1150-1166.
  4. Moen, Jon R. & Tallman, Ellis W., 2000. "Clearinghouse Membership and Deposit Contraction during the Panic of 1907," The Journal of Economic History, Cambridge University Press, vol. 60(01), pages 145-163, March.
  5. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, Elsevier.
  6. Jörg Breitung & Uta Pigorsch, 2013. "A Canonical Correlation Approach for Selecting the Number of Dynamic Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 23-36, 02.
  7. Leif Anders Thorsrud, 2013. "Global and regional business cycles. Shocks and propagations," Working Papers 0012, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  8. Marco Terrones & Ayhan Kose & Stijn Claessens, 2011. "How Do Business and Financial Cycles Interact?," IMF Working Papers 11/88, International Monetary Fund.
  9. Laurence Ball & N. Gregory Mankiw, 1992. "Asymmetric Price Adjustment and Economic Fluctuations," NBER Working Papers 4089, National Bureau of Economic Research, Inc.
  10. John Moore & Nobuhiro Kiyotaki, . "Credit Cycles," Discussion Papers 1995-5, Edinburgh School of Economics, University of Edinburgh.
  11. James M. Nason & Ellis W. Tallman, 2012. "Business Cycles and Financial Crises: The Roles of Credit Supply and Demand Shocks," CAMA Working Papers 2012-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  12. 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.
  13. Boris Hofmann & Bilyana Bogdanova, 2012. "Taylor rules and monetary policy: a global "Great Deviation"?," BIS Quarterly Review, Bank for International Settlements, September.
  14. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2011. "The world is not enough! Small open economies and regional dependence," Working Paper 2011/16, Norges Bank.
  15. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajsek, 2012. "Credit spreads as predictors of real-time economic activity: a Bayesian Model-Averaging approach," Finance and Economics Discussion Series 2012-77, Board of Governors of the Federal Reserve System (U.S.).
  16. Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
  17. Kose, M. Ayhan & Otrok, Christopher M. & Prasad, Eswar S., 2008. "Global business cycles: convergence or decoupling?," Discussion Paper Series 1: Economic Studies 2008,17, Deutsche Bundesbank, Research Centre.
  18. Bernanke, B. & Gertler, M. & Gilchrist, S., 1998. "The Financial Accelerator in a Quantitative Business Cycle Framework," Working Papers 98-03, C.V. Starr Center for Applied Economics, New York University.
  19. Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," Research Technical Papers 07/RT/12, Central Bank of Ireland.
  20. D'Agostino, Antonello & Giannone, Domenico, 2006. "Comparing Alternative Predictors Based on Large-Panel Factor Models," Research Technical Papers 14/RT/06, Central Bank of Ireland.
  21. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
  22. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
  23. Allan W. Gregory & Allen C. Head, 1996. "Common and Country-specific Fluctuations in Productivity, Investment, and the Current Account," Working Papers 931, Queen's University, Department of Economics.
  24. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
  25. Peersman, Gert & Smets, Frank, 2001. "Are the effects of monetary policy in the euro area greater in recessions than in booms?," Working Paper Series 0052, European Central Bank.
  26. Goodwin, Thomas H, 1993. "Business-Cycle Analysis with a Markov-Switching Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 331-39, July.
  27. Eickmeier, Sandra, 2004. "Business Cycle Transmission from the US to Germany: a Structural Factor Approach," Discussion Paper Series 1: Economic Studies 2004,12, Deutsche Bundesbank, Research Centre.
  28. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
  29. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
  30. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
  31. Marcelle Chauvet & James D. Hamilton, 2005. "Dating Business Cycle Turning Points," NBER Working Papers 11422, National Bureau of Economic Research, Inc.
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