Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts
Barbara Rossi () and
No 765, Working Papers from Barcelona Graduate School of Economics
This paper proposes a framework to implement regression-based tests of predictive ability in unstable environments, including, in particular, forecast unbiasedness and efficiency tests, commonly referred to as tests of forecast rationality. Our framework is general: it can be applied to model-based forecasts obtained either with recursive or rolling window estimation schemes, as well as to forecasts that are model-free. The proposed tests provide more evidence against forecast rationality than previously found in the Federal Reserve's Greenbook forecasts as well as survey-based private forecasts. It confirms, however, that the Federal Reserve has additional information about current and future states of the economy relative to market participants.
Keywords: forecasting; forecast rationality; regression-based tests of forecasting ability; Greenbook forecasts; survey forecasts; real-time data (search for similar items in EconPapers)
JEL-codes: C22 C52 C53 (search for similar items in EconPapers)
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Journal Article: Forecast Rationality Tests in the Presence of Instabilities, with Applications to Federal Reserve and Survey Forecasts (2016)
Working Paper: Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts (2016)
Working Paper: Forecast rationality tests in the presence of instabilities, with applications to Federal Reserve and survey forecasts (2014)
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