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Herd Behavior of Japanese Economists

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  • Ashiya, M.
  • Doi, T.

Abstract

Suppose competent economists obtain common information on business forecasts, and incompetent economists obtain independent information. If no one knows who is able, young economists mimic others because a forecast different from others indicated inability when it proves wrong. An older economist, however, can infer his ability from past information. Those who got useful information stop herding to signal their ability when economists are heterogeneous. All economists herd together when economists are homogenous and the merit from signaling is small. The empirical results suggests that Japanese economists are more homogenous than American.

Suggested Citation

  • Ashiya, M. & Doi, T., 1999. "Herd Behavior of Japanese Economists," ISER Discussion Paper 0479, Institute of Social and Economic Research, Osaka University.
  • Handle: RePEc:dpr:wpaper:0479
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    File URL: https://www.iser.osaka-u.ac.jp/library/dp/1999/dp0479.zip
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Batchelor, Roy, 2007. "Bias in macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(2), pages 189-203.
    3. Kosei Fukuda, 2009. "Forecasting growth cycle turning points using US and Japanese professional forecasters," Empirical Economics, Springer, vol. 36(2), pages 243-267, May.
    4. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    5. Brzezicka Justyna & Wisniewski Radosław, 2014. "Price Bubble In The Real Estate Market - Behavioral Aspects," Real Estate Management and Valuation, Sciendo, vol. 22(1), pages 1-14, March.
    6. Ashiya, Masahiro & Doi, Takero, 2001. "Herd behavior of Japanese economists," Journal of Economic Behavior & Organization, Elsevier, vol. 46(3), pages 343-346, November.
    7. Carina Burs, 2023. "A Model of Cycles and Bubbles under Heterogeneous Beliefs in Financial Markets," Working Papers CIE 154, Paderborn University, CIE Center for International Economics.
    8. Masahiro Ashiya, 2009. "Strategic bias and professional affiliations of macroeconomic forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 120-130.
    9. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    10. Ashiya, M., 2000. "Japanese GDP Forecasters Are Pressimistic in Boom, Optimistic in Recession, and Always Too Jumpy," ISER Discussion Paper 0513, Institute of Social and Economic Research, Osaka University.
    11. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    12. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    13. Ashiya, Masahiro, 2002. "Accuracy and rationality of Japanese institutional forecasters," Japan and the World Economy, Elsevier, vol. 14(2), pages 203-213, April.
    14. Chiang, Thomas C. & Li, Jiandong & Tan, Lin, 2010. "Empirical investigation of herding behavior in Chinese stock markets: Evidence from quantile regression analysis," Global Finance Journal, Elsevier, vol. 21(1), pages 111-124.
    15. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    16. Aghamolla, Cyrus & Hashimoto, Tadashi, 2020. "Information arrival, delay, and clustering in financial markets with dynamic freeriding," Journal of Financial Economics, Elsevier, vol. 138(1), pages 27-52.
    17. Fujiwara, Ippei & Ichiue, Hibiki & Nakazono, Yoshiyuki & Shigemi, Yosuke, 2013. "Financial markets forecasts revisited: Are they rational, stubborn or jumpy?," Economics Letters, Elsevier, vol. 118(3), pages 526-530.
    18. Raj Aggarwal & Sijing Zong, 2008. "Behavioral Biases in Forward Rates as Forecasts of Future Exchange Rates: Evidence of Systematic Pessimism and Under-Reaction," Multinational Finance Journal, Multinational Finance Journal, vol. 12(3-4), pages 241-277, September.
    19. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    20. Monique Reid & Pierre Siklos, 2023. "Rationality and biases insights from disaggregated firm level inflation expectations data," Working Papers 11050, South African Reserve Bank.
    21. Roy Batchelor, 2007. "Forecaster Behaviour and Bias in Macroeconomic Forecasts," ifo Working Paper Series 39, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    22. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2013. "What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 109-129.
    23. Kuo-Hwa Chang & Michael Nayat Young, 2019. "Portfolios Optimizations of Behavioral Stocks with Perception Probability Weightings," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 817-845, November.
    24. John B. Broughton & Bento J. Lobo, 2018. "Herding and anchoring in macroeconomic forecasts: the case of the PMI," Empirical Economics, Springer, vol. 55(3), pages 1337-1355, November.
    25. Luiz Félix & Roman Kräussl & Philip Stork, 2021. "Strategic bias and popularity effect in the prediction of economic surprises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1095-1117, September.

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    More about this item

    Keywords

    FORECASTS ; UNCERTAINTY ; INFORMATION;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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