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Dynamic Factor Models

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This RePEc Biblio topic is edited by Domenico Giannone (pgi49). It was first published on 2017-09-02 06:59:29 and last updated on 2017-09-02 13:23:49.

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  1. Thomas J. Sargent & Christopher A. Sims, 1977, "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers, Federal Reserve Bank of Minneapolis, number 55, DOI: 10.21034/wp.55.
  2. Watson, Mark W. & Engle, Robert F., 1983, "Alternative algorithms for the estimation of dynamic factor, mimic and varying coefficient regression models," Journal of Econometrics, Elsevier, volume 23, issue 3, pages 385-400, December.
  3. James H. Stock & Mark W. Watson, 1989, "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, National Bureau of Economic Research, Inc, "NBER Macroeconomics Annual 1989, Volume 4".
  4. Danny Quah & Thomas J. Sargent, 1993, "A Dynamic Index Model for Large Cross Sections," NBER Chapters, National Bureau of Economic Research, Inc, "Business Cycles, Indicators, and Forecasting".
  5. 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, volume 82, issue 4, pages 540-554, November.
  6. Stock, James H & Watson, Mark W, 2002, "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, volume 20, issue 2, pages 147-162, April.
  7. Jushan Bai, 2003, "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, volume 71, issue 1, pages 135-171, January.
  8. Onatski, Alexei, 2012, "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, volume 168, issue 2, pages 244-258, DOI: 10.1016/j.jeconom.2012.01.034.
  9. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012, "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, volume 94, issue 4, pages 1014-1024, November.
  10. Del Negro, Marco, 2002, "Asymmetric shocks among U.S. states," Journal of International Economics, Elsevier, volume 56, issue 2, pages 273-297, March.
  11. Bernanke, Ben S. & Boivin, Jean, 2003, "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, volume 50, issue 3, pages 525-546, April.
  12. Domenico Giannone & Lucrezia Reichlin & Luca Sala, 2005, "Monetary Policy in Real Time," NBER Chapters, National Bureau of Economic Research, Inc, "NBER Macroeconomics Annual 2004, Volume 19".
  13. Ricardo Reis & Mark W. Watson, 2010, "Relative Goods' Prices, Pure Inflation, and the Phillips Correlation," American Economic Journal: Macroeconomics, American Economic Association, volume 2, issue 3, pages 128-157, July.
  14. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008, "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, volume 55, issue 4, pages 665-676, May.
  15. Matheson, Troy D., 2012, "Financial conditions indexes for the United States and euro area," Economics Letters, Elsevier, volume 115, issue 3, pages 441-446, DOI: 10.1016/j.econlet.2011.12.119.
  16. Scott Brave & R. Andrew Butters, 2012, "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, volume 8, issue 2, pages 191-239, June.
  17. Silvia Miranda-Agrippino & Hélène Rey, 2015, "US Monetary Policy and the Global Financial Cycle," NBER Working Papers, National Bureau of Economic Research, Inc, number 21722, Nov.
  18. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014, "The FRBNY staff underlying inflation gauge: UIG," Staff Reports, Federal Reserve Bank of New York, number 672, Apr.