Forecasting US recessions: The role of economic uncertainty

C-Tier
Journal: Economics Letters
Year: 2020
Volume: 193
Issue: C

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This letter highlights the role of macroeconomic and financial uncertainty in predicting US recessions. In-sample forecasts using probit models indicate that the two variables are the best predictors of recessions at short horizons. Macroeconomic uncertainty has the highest predictive power up to 7 months ahead and becomes the second best predictor – after the yield curve slope – at longer horizons. Using data up to end-2018, out-of-sample forecasts show that uncertainty has significantly contributed to lower the probability of a recession in 2019, which indeed did not occur.

Technical Details

RePEc Handle
repec:eee:ecolet:v:193:y:2020:i:c:s0165176520302020
Journal Field
General
Author Count
2
Added to Database
2026-01-25