Disagreement, Uncertainty and the True Predictive Density

نویسندگان

  • Fabian Krüger
  • Ingmar Nolte
چکیده

This paper generalizes the discussion about disagreement versus uncertainty in macroeconomic survey data by emphasizing the importance of the (unknown) true predictive density. Using a forecast combination approach, we ask whether crosssections of survey point forecasts help to approximate the true predictive density. We find that although these cross-sections perform poorly individually, their inclusion into combined predictive densities can significantly improve upon densities relying solely on time series information. JEL classification: C53, C83, E.7, F.7

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تاریخ انتشار 2011