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The Social Value of Information: A Test of a Beauty and Non-Beauty Contest

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  • Lustenberger, Thomas
  • Rossi, Enzo

Abstract

We develop and apply a procedure to test the welfare implications of a beauty and non-beauty contest based on survey forecasts of interest rates and yields in a large country sample over an extended period of time. In most countries, interest rate forecasts are unbiased and consistent with both models, but are rarely supported by yield forecasts. In half of the countries, a higher precision of public information regarding interest rates increases welfare. During forward guidance, public information is less precise than private information.

Suggested Citation

  • Lustenberger, Thomas & Rossi, Enzo, 2018. "The Social Value of Information: A Test of a Beauty and Non-Beauty Contest," Working papers 2018/05, Faculty of Business and Economics - University of Basel.
    • Handle: RePEc:bsl:wpaper:2018/05
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    References listed on IDEAS

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    1. George-Marios Angeletos & Alessandro Pavan, 2004. "Transparency of Information and Coordination in Economies with Investment Complementarities," American Economic Review, American Economic Association, vol. 94(2), pages 91-98, May.
    2. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    3. Thomas Lustenberger & Enzo Rossi, 2020. "Does Central Bank Transparency and Communication Affect Financial and Macroeconomic Forecasts?," International Journal of Central Banking, International Journal of Central Banking, vol. 16(2), pages 153-201, March.
    4. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    5. George-Marios Angeletos & Luigi Iovino & Jennifer La'O, 2016. "Real Rigidity, Nominal Rigidity, and the Social Value of Information," American Economic Review, American Economic Association, vol. 106(1), pages 200-227, January.
    6. Qi Chen & Wei Jiang, 2006. "Analysts' Weighting of Private and Public Information," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 319-355.
    7. George-Marios Angeletos & Alessandro Pavan, 2007. "Efficient Use of Information and Social Value of Information," Econometrica, Econometric Society, vol. 75(4), pages 1103-1142, July.
    8. Philippe Bacchetta & Eric Van Wincoop, 2006. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," American Economic Review, American Economic Association, vol. 96(3), pages 552-576, June.
    9. Stephen Morris & Hyun Song Shin & Hui Tong, 2006. "Social Value of Public Information: Morris and Shin (2002) Is Actually Pro-Transparency, Not Con: Reply," American Economic Review, American Economic Association, vol. 96(1), pages 453-455, March.
    10. Baeriswyl Romain & Cornand Camille, 2016. "The Predominant Role of Signal Precision in Experimental Beauty Contests," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(1), pages 267-301, January.
    11. Jonathan G. James & Phillip Lawler, 2011. "Optimal Policy Intervention and the Social Value of Public Information," American Economic Review, American Economic Association, vol. 101(4), pages 1561-1574, June.
    12. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    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. Amador, Manuel & Weill, Pierre-Olivier, 2012. "Learning from private and public observations of othersʼ actions," Journal of Economic Theory, Elsevier, vol. 147(3), pages 910-940.
    15. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    16. Franklin Allen & Stephen Morris & Hyun Song Shin, 2006. "Beauty Contests and Iterated Expectations in Asset Markets," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 719-752.
    17. Jacob A. Mincer & Victor Zarnowitz, 1969. "The Evaluation of Economic Forecasts," NBER Chapters, in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 3-46, National Bureau of Economic Research, Inc.
    18. Karyne B. Charbonneau & Lori Rennison, 2015. "Forward Guidance at the Effective Lower Bound: International Experience," Discussion Papers 15-15, Bank of Canada.
    19. Guido Lorenzoni, 2010. "Optimal Monetary Policy with Uncertain Fundamentals and Dispersed Information ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 305-338.
    20. Mr. Mauro F Roca, 2010. "Transparency and Monetary Policy with Imperfect Common Knowledge," IMF Working Papers 2010/091, International Monetary Fund.
    21. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    22. Jacob A. Mincer, 1969. "Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance," NBER Books, National Bureau of Economic Research, Inc, number minc69-1.
    23. Leonardo Melosi, 2014. "Estimating Models with Dispersed Information," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(1), pages 1-31, January.
    24. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
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    Cited by:

    1. Thomas Lustenberger & Enzo Rossi, 2020. "Does Central Bank Transparency and Communication Affect Financial and Macroeconomic Forecasts?," International Journal of Central Banking, International Journal of Central Banking, vol. 16(2), pages 153-201, March.
    2. Monica Jain & Christopher S. Sutherland, 2020. "How Do Central Bank Projections and Forward Guidance Influence Private-Sector Forecasts?," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 179-218, October.
    3. Hwang, In Do & Lustenberger, Thomas & Rossi, Enzo, 2021. "Does communication influence executives’ opinion of central bank policy?☆," Journal of International Money and Finance, Elsevier, vol. 115(C).
    4. Ngomba Bodi, Francis Ghislain & Tadadjeu Wemba, Dessy-Karl & Soulemanou, Soulemanou, 2020. "Transparence des Banques Centrales et efficacité de la politique monétaire : quelles implications pour la Banque des Etats de l’Afrique Centrale ? [Central Bank's Transparency and effectiveness of ," MPRA Paper 116436, University Library of Munich, Germany.
    5. In Do Hwang & Dr. Enzo Rossi, 2020. "Does communication influence executives' opinion of central bank policy?," Working Papers 2020-17, Swiss National Bank.

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    More about this item

    Keywords

    Value of information; beauty contest; interest rate forecasts; bond yield forecasts; strategic forecasts; central bank transparency; forward guidance;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G1 - Financial Economics - - General Financial Markets
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

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