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Strategic bias, herding behaviour and economic forecasts

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  • Jordi Pons-Novell

    (University of Barcelona, Spain)

Abstract

Professional forecasters can have other objectives as well as minimizing expected squared forecast errors. This paper studies whether the people or companies which make forecasts behave strategically with the aim of maximizing aspects such as publicity, salary or their prestige, or more generally to minimize some loss function; or whether, on the contrary, they make forecasts which resemble consensus forecasts (herding behaviour). This study also analyses whether, as forecasters gain more reputation and experience, they make more radical forecasts, that is, they deviate further from the consensus. For this the Livingston Survey is used, a panel of experts who make forecasts on the future evolution of the United States economy. Copyright © 2003 John Wiley & Sons, Ltd.

Suggested Citation

  • Jordi Pons-Novell, 2003. "Strategic bias, herding behaviour and economic forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(1), pages 67-77.
  • Handle: RePEc:jof:jforec:v:22:y:2003:i:1:p:67-77
    DOI: 10.1002/for.860
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    References listed on IDEAS

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    Cited by:

    1. Batchelor, Roy, 2007. "Bias in macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(2), pages 189-203.
    2. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    3. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    4. Frédérique Bec & Raouf Boucekkine & Caroline Jardet, 2017. "Why are inflation forecasts sticky?," Working Papers 2017-17, Center for Research in Economics and Statistics.
    5. Papastamos, Dimitrios & Matysiak, George & Stevenson, Simon, 2015. "Assessing the accuracy and dispersion of real estate investment forecasts," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 141-152.
    6. Dovern, Jonas, 2013. "When are GDP forecasts updated? Evidence from a large international panel," Economics Letters, Elsevier, vol. 120(3), pages 521-524.
    7. repec:spr:grdene:v:21:y:2012:i:3:d:10.1007_s10726-010-9196-4 is not listed on IDEAS
    8. Tito Nícias Teixeira da Silva Filho, 2013. "Banks, Asset Management or Consultancies' Inflation Forecasts: is there a better forecaster out there?," Working Papers Series 310, Central Bank of Brazil, Research Department.
    9. F. Bec & R. Boucekkine & C. Jardet, 2017. "Why are inflation forecasts sticky? Theory and application to France and Germany," Working papers 650, Banque de France.
    10. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Pierdzioch, Christian & Rülke, Jan-Christoph, 2012. "Forecasting stock prices: Do forecasters herd?," Economics Letters, Elsevier, vol. 116(3), pages 326-329.
    12. Masahiro Ashiya, 2009. "Strategic bias and professional affiliations of macroeconomic forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 120-130.
    13. Tillmann, Peter, 2011. "Strategic forecasting on the FOMC," European Journal of Political Economy, Elsevier, vol. 27(3), pages 547-553, September.
    14. Dimitrios Papastamos & Fotis Mouzakis & Simon Stevenson, 2014. "Rationality and Momentum in Real Estate Investment Forecasts," Real Estate & Planning Working Papers rep-wp2014-07, Henley Business School, Reading University.
    15. Frédérique BEC, 2017. "Why are inflation forecasts sticky?," THEMA Working Papers 2017-23, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    16. Stephan Danninger & Irina Tytell & Ravi Balakrishnan & Selim Elekdag, 2009. "The Transmission of Financial Stress from Advanced to Emerging Economies," IMF Working Papers 09/133, International Monetary Fund.
    17. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    18. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, Reading University.
    19. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.

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