• Media type: E-Book
  • Title: Consensus Forecasts and Inefficient Information Aggregation
  • Contributor: Crowe, Christopher W. [Author]; Crowe, Christopher W. [Other]
  • Published: Washington, D.C: International Monetary Fund, 2010
    Online-Ausg.
  • Published in: Internationaler Währungsfonds: IMF working papers ; 1000
  • Extent: Online-Ressource (43 p)
  • Language: English
  • DOI: 10.5089/9781455201891.001
  • ISBN: 1455201898; 9781455201891
  • Identifier:
  • Keywords: Consensus Forecasts ; Information Aggregation ; Math ; Table ; WP ; Forecasting and Other Model Applications ; Expectations ; Speculations ; General Aggregative Models: Forecasting and Simulation ; Economic Forecasting ; Economic forecasting ; Forecasting ; United States
  • Type of reproduction: Online-Ausg.
  • Origination:
  • Footnote:
  • Description: Consensus forecasts are inefficient, over-weighting older information already in the public domain at the expense of new private information, when individual forecasters have different information sets. Using a cross-country panel of growth forecasts and new methodological insights, this paper finds that: consensus forecasts are inefficient as predicted; this is not due to individual forecaster irrationality; forecasters appear unaware of this inefficiency; and a simple adjustment reduces forecast errors by 5 percent. Similar results are found using US nominal GDP forecasts. The paper also discusses the result’s implications for users of forecaster surveys and for the literature on information aggregation
  • Access State: Open Access