Evaluation of the Survey of Professional Forecasters in the Greenbook’s Loss Function

Tae Hwy Lee and Yiyao Wang ()
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Yiyao Wang: University of Chicago

Journal of Quantitative Economics, 2019, vol. 17, issue 2, No 6, 345-360

Abstract: Abstract We aim to find a forecast in the Survey of Professional Forecasters (SPF) that is closest to the Greenbook forecast of the Federal Reserve Board. To do it, we look for an SPF cross-sectional percentile that is not encompassed by the Greenbook forecast under the Greenbook’s estimated asymmetric quadratic loss function with allowing asymmetry to be time-varying. To evaluate each SPF percentile in terms of the Greenbook’s asymmetric quadratic loss function, we introduce the encompassing test for the asymmetric least square regression (Newey and Powell, Econometrica 55(4):819–847, 1987). From the analysis of the US quarterly real output and inflation forecasts over the past four decades, we find that almost all SPF percentiles are encompassed by the Greenbook forecast in full data period. However there is evidence in sub-periods that many SPF percentiles are not encompassed by Greenbook. Among them, the best SPF percentile that is not encompassed by Greenbook and is closest to Greenbook for real output growth forecast is near the median of the SPF percentiles, while the best SPF percentile for inflation forecast is far below the median in the left tail of the SPF cross-sectional distribution. It indicates that the common practice of using the SPF median can be misleading.

Keywords: Asymmetric least squares; Encompassing test; Estimating asymmetric quadratic loss function; Forecast averaging; Model averaging (search for similar items in EconPapers)
JEL-codes: C1 C2 C3 C4 C5 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s40953-018-0141-8

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