Moussa, Zakaria (2010): The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model.
Preview |
PDF
MPRA_paper_29429.pdf Download (441kB) | Preview |
Abstract
Interest rates in several countries have recently been decreased to exceptionally low levels and a Quantitative Easing Monetary Policy (QEMP) has been adopted by most major central banks. In this context this paper is very actual, as it sheds some light on the effectiveness of the Japanese use of QEMP, which is the only experience we can learn from. This paper employs a Time Varying Parameters Factor-Augmented VAR (TVP-FAVAR) model to analyse monetary policy shocks in Japan. This model allows us to explore the effect of QEMP on a large number of variables. Our analysis delivers four main results. First, unsurprisingly, our results suggest that the best model to specify the Japanese monetary policy during the two last decades is a model where all of parameters vary over time. Second, the effect of QEMP on activity and prices is stronger than previously found. In particular, we find a significant price reaction to a monetary policy shock. Third, in contrast to previous work, there is a detectable efficiency of the portfolio-rebalancing channel, which could have a role in transmitting the monetary policy shocks. Fourth, while the policy commitment succeeds in controlling private and business expectations, these effects are not transmitted to the long-end of the yield curve.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model |
English Title: | The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model |
Language: | English |
Keywords: | Time varying parameters; Factor-Augmented VAR; Japan; Quantitative Easing; Transmission channels |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C11 - Bayesian Analysis: General |
Item ID: | 29429 |
Depositing User: | Zakaria Moussa |
Date Deposited: | 14 Mar 2011 21:15 |
Last Modified: | 27 Sep 2019 01:35 |
References: | Baba, Naohiko, Nishioka, Shinichi, Oda, Nobuyuki, Shirakawa, Masaaki, Ueda, Kazuo, and Ugai, Hiroshi. 2005. Japan’s Deflation, Problems in the Financial System, and Monetary Policy. Monetary and Economic Studies, 23(1), 47–111. Belviso, Francesco, and Milani, Fabio. 2006. Structural Factor-Augmented Vars (SFAVARs) and the Effects of Monetary Policy. Topics in Macroeconomics, 6(3), 1443–1443. Bernanke, Ben, Boivin, Jean, and Eliasz, Piotr. 2005. "Measuring the Effects of Monetary Policy: A Factor-augmented Vector Autoregressive (FAVAR) Approach". The Quarterly Journal of Economics, 120(1), 387–422. Bernanke, Ben S., and Mihov, Ilian. 1998. The liquidity effect and long-run neutrality. Carnegie- Rochester Conference Series on Public Policy, 49(1), 149–194. Bernanke, Ben S., and Reinhart, Vincent R. 2004. Conducting Monetary Policy at Very Low Short-Term Interest Rates. American Economic Review, 94(2), 85 – 90. Carter, C. K., and Kohn, R. 1994. On Gibbs sampling for state space models. Biometrika, 81(3), 541–553. Christiano, Lawrence J., Eichenbaum, Martin, and Evans, Charles L. 1999. Monetary policy shocks: What have we learned and to what end? Chap. 2, pages 65–148 of: Taylor, J. B., and Woodford, M.(eds), Handbook of Macroeconomics, vol. 1. Elsevier. Eggertsson, Gauti B., and Woodford, Michael. 2003. The Zero Bound on Interest Rates and Optimal Monetary Policy. Brookings Papers on Economic Activity, 34(2003-1), 139–235. Forni, M., Hallin, M., Lippi, M., and Reichlin, L. 2005. The generalized dynamic factor model: one-sided estimation and forecasting. Journal of the American Statistical Association, 100, 830–840. Forni, Mario, and Gambetti, Luca. 2010. The dynamic effects of monetary policy: A structural factor model approach. Journal of Monetary Economics, 57(2), 203 – 216. Fujiwara, Ippei. 2006. Evaluating monetary policy when nominal interest rates are almost zero. Journal of the Japanese and International Economies, 20(3), 434–453. Gagnon, Joseph E., Raskin, Matthew, Remache, Julie, and Sack, Brian P. 2010 (March). Large-Scale Asset Purchases by the Federal Reserve: Did They Work? Staff Report No 441. New York: Federal Reserve Bank of New York. Gerlach, R., Carter, C., and Kohn, R. 2000. Efficient Bayesian inference for dynamic mixture models. Journal of the American Statistical Association, 75, 819–828. Giordani, Paolo, and Kohn, Robert. 2008. Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models. Journal of Business & Economic Statistics, 26(January), 66–77. Girardin, Eric, and Lyons, Richard K. 2008. Does Intervention Alter Private Behaviour? Working Papers. http://faculty.haas.berkeley.edu/LYONS/wp.html. Inoue, Tomoo, and Okimoto, Tatsuyoshi. 2008. Were there structural breaks in the effects of Japanese monetary policy? Re-evaluating policy effects of the lost decade. Journal of the Japanese and International Economies, 22(3), 320–342. Ito, Takatoshi, and Mishkin, Frederic S. 2006. Two Decades of Japanese Monetary Policy and the Deflation Problem. Pages 131–202 of: Monetary Policy under Very Low Inflation in the Pacific Rim, NBER-EASE, Volume 15. NBER Chapters. National Bureau of Economic Research, Inc. Ito, Takatoshi, and Yabu, Tomoyoshi. 2007. What prompts Japan to intervene in the Forex market? A new approach to a reaction function. Journal of International Money and Finance, 26(2), 193–212. Jung, Taehun, Teranishi, Yuki, and Watanabe, Tsutomu. 2005. Optimal Monetary Policy at the Zero- Interest-Rate Bound. Journal of Money, Credit and Banking, 37(5), 813–35. Kim, Sangjoon, Shephard, Neil, and Chib, Siddhartha. 1998. Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models. Review of Economic Studies, 65(3), 361–93. Kim, Soyoung, and Roubini, Nouriel. 2000. Exchange rate anomalies in the industrial countries: A solution with a structural VAR approach. Journal of Monetary Economics, 45(3), 561 – 586. Kimura, Takeshi, Kobayashi, Hiroshi, Muranaga, Jun, and Ugai, Hiroshi. 2003. The effect of the increase in the monetary base of Japan’s economy at zero interest rates: an empirical analysis. Tech. rept. in Monetary Policy in a Changing Environment. Koo, Richard C. 2008. The Holy Grail of Macroeconomics: Lessons from Japan’s Great Recession. John Wiley and Sons (Asia) Pte. Ltd. ISBN 974-0470-82387-3. Koop, Gary, and Korobilis, Dimitris. 2009 (Sept.). Bayesian Multivariate Time Series Methods for Empirical Macroeconomics. MPRA Paper 20125. University Library of Munich, Germany. http: //ideas.repec.org/p/pra/mprapa/20125.html. Kwon, Eunkyung. 1998. Monetary Policy, Land Prices, and Collateral Effects on Economic Fluctuations: Evidence from Japan. Journal of the Japanese and International Economies, 12(3), 175 – 203. Leeper, Eric M., Sims, Christopher A., and Zha, Tao. 1996. What Does Monetary Policy Do? Brookings Papers on Economic Activity, 27(1996-2), 1–78. Mehrotra, Aaron. 2009. The case for price level or inflation targeting–What happened to monetary policy effectiveness during the Japanese disinflation? Japan and the World Economy, 21(3), 280–291. Miyao, Ryuzo. 2000. The Role of Monetary Policy in Japan: A Break in the 1990s? Journal of the Japanese and International Economies, 14(4), 366–384. Nakajima, Jouchi, Kasuya, Munehisa, and Watanabe, Toshiaki. 2009. Bayesian Analysis of Time- Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy. IMES Discussion Paper Series, May. Nakajima, Jouchi, Shiratsuka, Shigenori, and Teranishi, Yuki. 2010. The Effects of Monetary Policy Commitment: Evidence from Time- varying Parameter VAR Analysis. IMES Discussion Paper Series. Institute for Monetary and Economic Studies, Bank of Japan. Oda, Nobuyuki, and Ueda, Kazuo. 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, 58(3), 303–328. Okina, Kunio, and Shiratsuka, Shigenori. 2004. Policy commitment and expectation formation: Japan’s experience under zero interest rates. The North American Journal of Economics and Finance, 15(1), 75–100. Primiceri, Giorgio E. 2005. Time Varying Structural Vector Autoregressions and Monetary Policy. Review of Economic Studies, 72(3). Shibamoto, Masahiko. 2007. An Analysis of Monetary Policy Shocks in Japan: A Factor Augmented Vector Autoregressive Approach. Japanese Economic Review December 2007, 58(4), 484–503. Shioji, Etsuro. 2000. Identifying Monetary Policy Shocks in Japan. Journal of the Japanese and International Economies, 14(1), 22 – 42. Spiegelhalter, D, Best, N, Carlin, B, and van der Linde, A. 2002. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, 64. Stock, James H., and Watson, Mark W. 1996 (Aug.). Asymptotically Median Unbiased Estimation of Coefficient Variance in a Time Varying Parameter Model. NBER Technical Working Papers 0201. National Bureau of Economic Research, Inc. http://ideas.repec.org/p/nbr/nberte/ 0201.html. Stock, James H., and Watson, Mark W. 2005 (July). Implications of Dynamic Factor Models for VAR Analysis. NBER Working Papers 11467. National Bureau of Economic Research, Inc. http:// ideas.repec.org/p/nbr/nberwo/11467.html. Svensson, Lars E. O. 2003. Escaping from a Liquidity Trap and Deflation: The Foolproof Way and Others. Journal of Economic Perspectives, 17(4), 145–166. Teruyama, Hiroshi. 2001. Analysis of monetary policy using VAR: A perspective. Financial Review, 59(1), 74–140. Ugai, Hiroshi. 2007. Effects of the Quantitative Easing Policy: A Survey of Empirical Analyses. Monetary and Economic Studies, 25(1), 1–48. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/29429 |