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Measuring the Information Content of the Beige Book: A Mixed Data Sampling Approach

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  • MICHELLE T. ARMESTO
  • RUBÉN HERNÁNDEZ-MURILLO
  • MICHAEL T. OWYANG
  • JEREMY PIGER

Abstract

Studies of the predictive ability of the Federal Reserve's Beige Book for aggregate output and employment have proven inconclusive. This might be attributed, in part, to its irregular release schedule. We use a model that allows for data sampling at mixed frequencies to analyze the predictive power of the Beige Book. We find that the Beige Book's national summary and District reports predict GDP and aggregate employment and that most District reports provide information content for regional employment. In addition, there appears to be an asymmetry in the predictive content of the Beige Book language. Copyright (c) 2009 The Ohio State University.

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Bibliographic Info

Article provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.

Volume (Year): 41 (2009)
Issue (Month): 1 (02)
Pages: 35-55

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Handle: RePEc:mcb:jmoncb:v:41:y:2009:i:1:p:35-55

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879

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Cited by:
  1. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2011. "Macroprudential policy and central bank communication," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential regulation and policy, volume 60, pages 107-110 Bank for International Settlements.
  2. Kathryn Lundquist & H.O. Stekler, 2011. "The Forecasting Performance of Business Economists During the Great Recession," Working Papers 2011-004, The George Washington University, Department of Economics, Research Program on Forecasting.
  3. Apel, Mikael & Blix Grimaldi, Marianna, 2012. "The Information Content of Central Bank Minutes," Working Paper Series 261, Sveriges Riksbank (Central Bank of Sweden).
  4. Cláudia Duarte, 2014. "Autoregressive augmentation of MIDAS regressions," Working Papers w201401, Banco de Portugal, Economics and Research Department.
  5. Sadique, Shibley & In, Francis & Veeraraghavan, Madhu & Wachtel, Paul, 2013. "Soft information and economic activity: Evidence from the Beige Book," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 81-92.
  6. J. Isaac Miller, 2012. "Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures," Working Papers 1211, Department of Economics, University of Missouri.
  7. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
  8. Eric Ghysels & Andros Kourtellos & Elena Andreou, 2012. "Should macroeconomic forecasters use daily financial data and how?," 2012 Meeting Papers 1196, Society for Economic Dynamics.

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