Probability and Severity of Recessions

Dalibor Stevanovic
Authors registered in the RePEc Author Service: Rachidi Kotchoni

CIRANO Working Papers from CIRANO

Abstract: For the new version of this paper, see http://cirano.qc.ca/files/publications/2016s-36.pdfThis paper advances beyond the prediction of the probability of a recession by also considering its severity in terms of output loss and duration. First, Probit models are used to estimate the probability of a recession at period t + h from the information available at period t. Next, a Vector Autoregression (VAR) augmented with diffusion indices and an inverse Mills ratio (IMR) is fitted to selected measures of real economic activity. The latter model is used to generate two forecasts: an average forecast, and a forecast under the pessimistic assumption that a recession occurs at the forecast horizon. The severity of recessions is then predicted as the gap between these two forecasts. Finally, a zero-inated Poisson model is fitted to historical durations of recessions. Our empirical results suggest that U.S. recessions are fairly predictable, both in terms of occurrence and severity. Out-of-sample experiments suggest that the inclusion of the IMR in the VAR model significantly improves its forecasting performance.

Keywords: Duration of recessions; Forecasting Real Activity; Probability of Recessions; Probit; Vector Autoregression; Zero Inated Poisson. (search for similar items in EconPapers)
JEL-codes: C3 C35 C5 E27 E37 (search for similar items in EconPapers)
Date: 2013-11-01
New Economics Papers: this item is included in nep-for and nep-mac
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https://cirano.qc.ca/files/publications/2013s-43.pdf

Related works:
Working Paper: Probability and Severity of Recessions (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:cir:cirwor:2013s-43

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