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

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  • Shibamoto, Masahiko
Abstract
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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  • Shibamoto, Masahiko, 2008. "The estimation of monetary policy reaction function in a data-rich environment: The case of Japan," Japan and the World Economy, Elsevier, vol. 20(4), pages 497-520, December.
  • Handle: RePEc:eee:japwor:v:20:y:2008:i:4:p:497-520
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    1. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    2. Park, Joon, 2003. "Weak Unit Roots," Working Papers 2003-17, Rice University, Department of Economics.
    3. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2003. "Do financial variables help forecasting inflation and real activity in the euro area?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1243-1255, September.
    4. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    5. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    6. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
    7. Shintani, Mototsugu, 2005. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 517-538, June.
    8. 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.
    9. Park, Joon Y., 2006. "A bootstrap theory for weakly integrated processes," Journal of Econometrics, Elsevier, vol. 133(2), pages 639-672, August.
    10. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    11. Kasa, Ken & Popper, Helen, 1997. "Monetary Policy in Japan: A Structural VAR Analysis," Journal of the Japanese and International Economies, Elsevier, vol. 11(3), pages 275-295, September.
    12. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    13. 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, September.
    14. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    15. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    16. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    17. 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 518-529, October.
    18. Mahadeva,Lavan & Sinclair,Peter (ed.), 2002. "Monetary Transmission in Diverse Economies," Cambridge Books, Cambridge University Press, number 9780521813464, September.
    19. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    20. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
    21. Miyao, Ryuzo, 2002. "The Effects of Monetary Policy in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 376-392, May.
    22. 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, September.
    23. Ma, Adrian, 2002. "GMM estimation of the new Phillips curve," Economics Letters, Elsevier, vol. 76(3), pages 411-417, August.
    24. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    25. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    26. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    27. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    28. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    29. 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.
    30. Frank Kleibergen, 2005. "Testing Parameters in GMM Without Assuming that They Are Identified," Econometrica, Econometric Society, vol. 73(4), pages 1103-1123, July.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
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    7. Pang, Iris Ai Jao, 2010. "Were Fed’s active monetary policy actions necessary?," MPRA Paper 32496, University Library of Munich, Germany.
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    9. F. Zagonari, 2015. "Coherence, efficiency, and independence of the EU environmental policy system: results of complementary statistical and econometric analyses," Working Papers wp992, Dipartimento Scienze Economiche, Universita' di Bologna.

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