The Impact of Uncertainty Shocks under Measurement Error: A Proxy SVAR Approach

B-Tier
Journal: Journal of Money, Credit, and Banking
Year: 2015
Volume: 47
Issue: 6
Pages: 1223-1238

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

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

Abstract

A growing literature considers the impact of uncertainty using SVAR models that include proxies for uncertainty shocks as endogenous variables. In this paper, we consider the impact of measurement error in these proxies on the estimated impulse responses. We show via a Monte Carlo experiment that measurement error can result in attenuation bias in impulse responses. In contrast, the proxy SVAR that uses the uncertainty shock proxy as an instrument does not suffer from this bias. Applying this latter method to the Bloom (2009) data set results in impulse responses to uncertainty shocks that are larger in magnitude and more persistent than those obtained from a recursive SVAR.

Technical Details

RePEc Handle
repec:wly:jmoncb:v:47:y:2015:i:6:p:1223-1238
Journal Field
Macro
Author Count
4
Added to Database
2026-01-25