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Irrational Bias in Inflation Forecasts

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Listed:
  • Kim, Insu
  • Kim, Minsoo

Abstract

This paper investigates the issue of rational expectations using inflation forecasts from the Survey of Professional Forecasters (SPF) and the Green Book. We provide an alternative test of rational expectations hypothesis by measuring the degree of persistence of potential systematic mistakes. The test is obtained by solving a signal extraction problem that distinguishes between systematic and non-systematic forecast errors. The findings indicate highly persistent systematic mistakes, which are driven by the inefficient use of available information, and reject the rational expectations hypothesis. The estimated time-varying bias can be used to improve the SPF and Green Book inflation forecast performance by at least 13.4%. This paper also documents evidence that the real interest rate plays a crucial role in explaining the level of bias that leads to under- and over predictions of actual inflation.

Suggested Citation

  • Kim, Insu & Kim, Minsoo, 2009. "Irrational Bias in Inflation Forecasts," MPRA Paper 16447, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:16447
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    References listed on IDEAS

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    1. Lovell, Michael C, 1986. "Tests of the Rational Expectations Hypothesis," American Economic Review, American Economic Association, vol. 76(1), pages 110-124, March.
    2. Sbordone, Argia M., 2005. "Do expected future marginal costs drive inflation dynamics?," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1183-1197, September.
    3. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    4. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270, National Bureau of Economic Research, Inc.
    5. 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.
    6. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    7. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    8. Andolfatto, David & Hendry, Scott & Moran, Kevin, 2008. "Are inflation expectations rational?," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 406-422, March.
    9. Capistrán, Carlos, 2008. "Bias in Federal Reserve inflation forecasts: Is the Federal Reserve irrational or just cautious?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1415-1427, November.
    10. Yash P. Mehra, 2002. "Survey measures of expected inflation : revisiting the issues of predictive content and rationality," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 17-36.
    11. Brunner, Karl & Cukierman, Alex & Meltzer, Allan H., 1980. "Stagflation, persistent unemployment and the permanence of economic shocks," Journal of Monetary Economics, Elsevier, vol. 6(4), pages 467-492, October.
    12. Ben S. Bernanke, 2007. "Inflation expectations and inflation forecasting," Speech 306, Board of Governors of the Federal Reserve System (U.S.).
    13. Rudd, Jeremy & Whelan, Karl, 2005. "Does Labor's Share Drive Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 297-312, April.
    14. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 293-318.
    15. Ball, Laurence & Croushore, Dean, 2003. "Expectations and the Effects of Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 473-484, August.
    16. Roberts, John M., 1997. "Is inflation sticky?," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 173-196, July.
    17. repec:fip:fedgsq:y:2007:i:jul10 is not listed on IDEAS
    18. Dean Croushore, 1997. "The Livingston Survey: still useful after all these years," Business Review, Federal Reserve Bank of Philadelphia, issue Mar, pages 15-27.
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    Cited by:

    1. Murray, James, 2011. "Learning and judgment shocks in U.S. business cycles," MPRA Paper 29257, University Library of Munich, Germany.

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    Keywords

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    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • 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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