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Multimodality Test and Mixture Distributions: An Application to the Central Bank Expectation Survey

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Author Info
Patricio Jaramillo
Juan Carlos Piantini

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Abstract

This paper presents the Silverman multimodality test and mixture distributions methodology, applying both approaches to the Economic Expectations Survey of the Central Bank of Chile. The main results reflect the importance of permanently monitoring the implicit kernel distributions in each survey. Private analysts’ forecasts are found to have systematically been in line with the inflation targeting range, although during episodes where effective inflation fell outside the target range, the analysts encounter forecasting difficulties. Meanwhile, we observe the relevance of the Bank’s inflationary report for anchoring expectations, as the distributions become systematically more homogenous after publication.

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Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 489.

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Date of creation: Oct 2008
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Handle: RePEc:chb:bcchwp:489

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  1. Richard Clarida & Jordi Gali & Mark Gertler, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December. [Downloadable!] (restricted)
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  2. Carlos Bowles & Roberta Friz & Veronique Genre & Geoff Kenny & Aidan Meyler & Tuomas Rautanen, 2007. "The ECB survey of professional forecasters (SPF) – A review after eight years’ experience," Occasional Paper Series 59, European Central Bank. [Downloadable!]
  3. Giordani, Paolo & Soderlind, Paul, 2003. "Inflation forecast uncertainty," European Economic Review, Elsevier, vol. 47(6), pages 1037-1059, December. [Downloadable!] (restricted)
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  4. Wayne Huang & Bharat Trehan, 2008. "Unanchored expectations? Interpreting the evidence from inflation surveys," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue Jul 25. [Downloadable!]
  5. Demertzis, Maria, 2004. "Central Bank independence: Low inflation at no cost? A numerical simulations exercise," Journal of Macroeconomics, Elsevier, vol. 26(4), pages 661-677, December. [Downloadable!] (restricted)
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  6. Fabián Gredig U. & Klaus Schmidt-Hebbel D. & Rodrigo O. Valdés P., 2008. "The Monetary Policy Horizon in Chile and Other Inflation-Targeting Countries," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(1), pages 5-27, April. [Downloadable!]
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  7. Teruko Takada, 2001. "Nonparametric density estimation: A comparative study," Economics Bulletin, Economics Bulletin, vol. 3, pages 1-10. [Downloadable!]
  8. Lahiri, Kajal & Teigland, Christie & Zaporowski, Mark, 1988. "Interest Rates and the Subjective Probability Distribution of Inflation Forecasts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(2), pages 233-48, May. [Downloadable!] (restricted)
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