Robust Inference on Average Economic Growth*

B-Tier
Journal: Oxford Bulletin of Economics and Statistics
Year: 2006
Volume: 68
Issue: 3
Pages: 345-370

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

We discuss a method to estimate the confidence bounds for average economic growth, which is robust to misspecification of the unit root property of a given time series. We derive asymptotic theory for the consequences of such misspecification. Our empirical method amounts to an implementation of the subsampling procedure advocated in Romano and Wolf (Econometrica, 2001, Vol. 69, p. 1283). Simulation evidence supports the theory and it also indicates the practical relevance of the subsampling method. We use quarterly postwar US industrial production for illustration and we show that non‐robust approaches rather lead to different conclusions on average economic growth than our robust approach.

Technical Details

RePEc Handle
repec:bla:obuest:v:68:y:2006:i:3:p:345-370
Journal Field
General
Author Count
2
Added to Database
2026-01-24