The estimation of monetary policy reaction function in a data-rich environment: The case of Japan
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- Fabio Zagonari, 2018. "Coherence, Causality, and Effectiveness of the EU Environmental Policy System: Results of Complementary Statistical and Econometric Analyses," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 1-29, May.
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- Masahiko Shibamoto & Wataru Takahashi & Takashi Kamihigashi, 2020. "Japan's Monetary Policy: A Literature Review and Empirical Assessment," Discussion Paper Series DP2020-15, Research Institute for Economics & Business Administration, Kobe University, revised Mar 2021.
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- Sánchez-Fung, José R., 2011. "Estimating monetary policy reaction functions for emerging market economies: The case of Brazil," Economic Modelling, Elsevier, vol. 28(4), pages 1730-1738, July.
- Pang, Iris Ai Jao, 2010. "Were Fed’s active monetary policy actions necessary?," MPRA Paper 32496, University Library of Munich, Germany.
- Pang, Iris Ai Jao, 2010. "Forecasting Hong Kong economy using factor augmented vector autoregression," MPRA Paper 32495, University Library of Munich, Germany.
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Keywords
Monetary policy reaction function Data-rich environment Weak identification;Statistics
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