News-Driven Uncertainty Fluctuations

A-Tier
Journal: Journal of Business & Economic Statistics
Year: 2023
Volume: 41
Issue: 3
Pages: 968-982

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

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

Abstract

We investigate the channels through which news influences the subjective beliefs of economic agents, with a particular focus on their subjective uncertainty. The main insight of the article is that news that is more at odds with agents’ prior beliefs generates an increase in uncertainty; news that is more consistent with their prior beliefs generates a decrease in uncertainty. We illustrate this insight theoretically and then estimate the model empirically using data on U.S. output and professional forecasts to provide novel measures of news shocks and uncertainty. We then estimate impulse responses from the identified shocks to show that news shocks can affect macroeconomic variables in ways that resemble the effects of uncertainty shocks. Our results suggest that controlling for news can potentially diminish the estimated effects of uncertainty shocks on real variables, particularly at longer horizons.

Technical Details

RePEc Handle
repec:taf:jnlbes:v:41:y:2023:i:3:p:968-982
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-29