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Do professional forecasters in Asian–Pacific countries believe in the monetary neutrality?

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  • Rülke, Jan-Christoph

Abstract

We analyze more than 40,000 forecasts of the annual growth rate of the money supply, the inflation rate, and the growth rate for eleven Asian–Pacific countries between 1994 and 2011. We document that forecasters believe in nominal effects of future monetary policy.

Suggested Citation

  • Rülke, Jan-Christoph, 2012. "Do professional forecasters in Asian–Pacific countries believe in the monetary neutrality?," Economics Letters, Elsevier, vol. 117(1), pages 178-181.
    • Handle: RePEc:eee:ecolet:v:117:y:2012:i:1:p:178-181
    DOI: 10.1016/j.econlet.2012.04.104
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    References listed on IDEAS

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    1. Benassy-Quere, Agnes & Larribeau, Sophie & MacDonald, Ronald, 2003. "Models of exchange rate expectations: how much heterogeneity?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 113-136, April.
    2. Ralf Fendel & Eliza M. Lis & Jan‐Christoph Rülke, 2011. "Do professional forecasters believe in the Phillips curve? evidence from the G7 countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(2), pages 268-287, March.
    3. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    4. John H. Rogers & Ping Wang, 1993. "High inflation: causes and consequences," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Dec, pages 37-51.
    5. Roy Batchelor, 2001. "How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 225-235.
    6. Karlyn Mitchell & Douglas Pearce, 2010. "Do Wall Street economists believe in Okun’s Law and the Taylor Rule?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(2), pages 196-217, April.
    7. 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.
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    More about this item

    Keywords

    Quantity equation; Forecasts; Asian–Pacific countries;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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