On the Practice of Lagging Variables to Avoid Simultaneity

B-Tier
Journal: Oxford Bulletin of Economics and Statistics
Year: 2015
Volume: 77
Issue: 6
Pages: 897-905

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

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

Abstract

type="main" xml:id="obes12088-abs-0001"> <title type="main">Abstract</title> <p>A common practice in applied economics research consists of replacing a suspected simultaneously determined explanatory variable with its lagged value. This note demonstrates that this practice does not enable one to avoid simultaneity bias. The associated estimates are still inconsistent, and hypothesis testing is invalid. An alternative is to use lagged values of the endogenous variable in instrumental variable estimation. However, this is only an effective estimation strategy if the lagged values do not themselves belong in the respective estimating equation, and if they are sufficiently correlated with the simultaneously determined explanatory variable.

Technical Details

RePEc Handle
repec:bla:obuest:v:77:y:2015:i:6:p:897-905
Journal Field
General
Author Count
1
Added to Database
2026-01-29