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The typical spectral shape of an economic variable: a visual guide


  • Carlos A. Medel


Granger (1966) describes how the spectral shape of an economic variable concentrates spectral mass at low frequencies, declining smoothly as frequency increases. His empirical exercise focused on the evidence obtained from a handful of series. In this article, I focus on a broad range of economic variables to investigate their spectral shape. After performing several exercises, the results show that Granger's assertion holds more often than not. Especially fuzzy cases are those that exhibit some degree of transition to a different regime, as are those estimated with a very short bandwidth.

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  • Carlos A. Medel, 2014. "The typical spectral shape of an economic variable: a visual guide," Applied Economics Letters, Taylor & Francis Journals, vol. 21(14), pages 1017-1024, September.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:14:p:1017-1024 DOI: 10.1080/13504851.2014.904486

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    1. Richhild Moessner & William R. Nelson, 2008. "Central Bank Policy Rate Guidance and Financial Market Functioning," International Journal of Central Banking, International Journal of Central Banking, vol. 4(4), pages 193-226, December.
    2. Thomas Jonsson & Pär Österholm, 2012. "The properties of survey-based inflation expectations in Sweden," Empirical Economics, Springer, vol. 42(1), pages 79-94, February.
    3. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, September.
    4. van der Cruijsen, Carin A.B. & Eijffinger, Sylvester C.W. & Hoogduin, Lex H., 2010. "Optimal central bank transparency," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1482-1507, December.
    5. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    6. Piazzesi, Monika & Swanson, Eric T., 2008. "Futures prices as risk-adjusted forecasts of monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 677-691, May.
    7. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    8. Spencer Dale & Athanasios Orphanides & Pär Österholm, 2011. "Imperfect Central Bank Communication: Information versus Distraction," International Journal of Central Banking, International Journal of Central Banking, vol. 7(2), pages 3-39, June.
    9. Gabriela Galati & Steven Poelhekke & Chen Zhou, 2011. "Did the Crisis Affect Inflation Expectations?," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 167-207, March.
    10. Baghestani, Hamid, 2008. "Federal Reserve versus private information: Who is the best unemployment rate predictor," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 101-110.
    11. Jonsson, Thomas & Österholm, Pär, 2011. "The forecasting properties of survey-based wage-growth expectations," Economics Letters, Elsevier, vol. 113(3), pages 276-281.
    12. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    13. Lars E. O. Svensson, 2006. "Social Value of Public Information: Comment: Morris and Shin (2002) Is Actually Pro-Transparency, Not Con," American Economic Review, American Economic Association, vol. 96(1), pages 448-452, March.
    14. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    15. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
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