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The estimation of monetary policy reaction function in a data-rich environment: The case of Japan

  • Shibamoto, Masahiko

This paper reports the estimates of a monetary policy reaction function for the Bank of Japan in a data-rich environment. There are two main findings. First, a weak identification problem arises in the estimates under the specifications that some previous works employ, though in a data-rich environment it may be possible to avoid this problem. Second, the evidence from the estimates in a data-rich environment suggests that the Bank of Japan only controlled the inflation forecast, and placed no weight on output stabilization directly over the period from November 1988 through February 2001.

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File URL: http://www.sciencedirect.com/science/article/B6VF1-4P59XB3-2/2/8a6c8c847151b133db33f95f50b3e403
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Article provided by Elsevier in its journal Japan and the World Economy.

Volume (Year): 20 (2008)
Issue (Month): 4 (December)
Pages: 497-520

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Handle: RePEc:eee:japwor:v:20:y:2008:i:4:p:497-520
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505557

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  1. Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
  2. Richard Clarida & Jordi Galí & Mark Gertler, 1997. "The science of monetary policy: A new Keynesian perspective," Economics Working Papers 356, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 1999.
  3. Richard Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," NBER Working Papers 6442, National Bureau of Economic Research, Inc.
  4. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
  5. Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
  6. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  7. Ben Bernanke & Jean Boivin & Piotr S. Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, MIT Press, vol. 120(1), pages 387-422, January.
  8. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
  9. Kenneth N. Kuttner & Adam S. Posen, 2001. "The Great Recession: Lessons for Macroeconomic Policy from Japan," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(2), pages 93-186.
  10. Nobuyuki Oda & Kazuo Ueda, 2007. "The Effects Of The Bank Of Japan'S Zero Interest Rate Commitment And Quantitative Monetary Easing On The Yield Curve: A Macro-Finance Approach," The Japanese Economic Review, Japanese Economic Association, vol. 58(3), pages 303-328.
  11. Park, Joon Y., 2006. "A bootstrap theory for weakly integrated processes," Journal of Econometrics, Elsevier, vol. 133(2), pages 639-672, August.
  12. Sophocles Mavroeidis, 2004. "Weak Identification of Forward-looking Models in Monetary Economics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 609-635, 09.
  13. Joseph G. Altonji & Lewis M. Segal, 1994. "Small Sample Bias in GMM Estimation of Covariance Structures," NBER Technical Working Papers 0156, National Bureau of Economic Research, Inc.
  14. Marc Hallin & Mario Forni & Marco Lippi & Lucrezia Reichlin, 2003. "Do financial variables help forecasting inflation and real activity in the Euro area ?," ULB Institutional Repository 2013/2123, ULB -- Universite Libre de Bruxelles.
  15. Mototsugu Shintani, 2010. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Levine's Working Paper Archive 506439000000000168, David K. Levine.
  16. Ma, Adrian, 2002. "GMM estimation of the new Phillips curve," Economics Letters, Elsevier, vol. 76(3), pages 411-417, August.
  17. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
  18. Ben S. Bernanke & Ilian Mihov, 1995. "Measuring Monetary Policy," NBER Working Papers 5145, National Bureau of Economic Research, Inc.
  19. Tachibana, Minoru, 2006. "Did the Bank of Japan have a target zone for the inflation rate?," Economics Letters, Elsevier, vol. 92(1), pages 131-136, July.
  20. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2003. "The Generalized Dynamic Factor Model. One-Sided Estimation and Forecasting," LEM Papers Series 2003/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  21. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
  22. Frank Kleibergen, 2005. "Testing Parameters in GMM Without Assuming that They Are Identified," Econometrica, Econometric Society, vol. 73(4), pages 1103-1123, 07.
  23. Miyao, Ryuzo, 2000. "The Role of Monetary Policy in Japan: A Break in the 1990s?," Journal of the Japanese and International Economies, Elsevier, vol. 14(4), pages 366-384, December.
  24. Miyao, Ryuzo, 2002. "The Effects of Monetary Policy in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 376-92, May.
  25. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  26. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1997. "Monetary Policy Rules in Practice: Some International Evidence," CEPR Discussion Papers 1750, C.E.P.R. Discussion Papers.
  27. Jang, Kyungho & Ogaki, Masao, 2003. "The Effects of Japanese Monetary Policy Shocks on Exchange Rates: A Structural Vector Error Correction Model Approach," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 21(1), pages 1-34, February.
  28. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  29. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
  30. Park, Joon, 2003. "Weak Unit Roots," Working Papers 2003-17, Rice University, Department of Economics.
  31. Kenneth Kasa & Helen Popper, 1995. "Monetary policy in Japan: a structural VAR analysis," Pacific Basin Working Paper Series 95-12, Federal Reserve Bank of San Francisco.
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