Correcting Standard Errors in Two‐stage Estimation Procedures with Generated Regressands

B-Tier
Journal: Oxford Bulletin of Economics and Statistics
Year: 2005
Volume: 67
Issue: 3
Pages: 421-433

Authors (4)

Michel Dumont (not in RePEc) Glenn Rayp (United Nations University) Olivier Thas (not in RePEc) Peter Willemé (Government of Belgium)

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

Feenstra and Hanson [NBER Working Paper No. 6052 (1997)] propose a procedure to correct the standard errors in a two‐stage regression with generated dependent variables. Their method has subsequently been used in two‐stage mandated wage models [Feenstra and Hanson, Quarterly Journal of Economics (1999) Vol. 114, pp. 907–940; Haskel and Slaughter, The Economic Journal (2001) Vol. 111, pp. 163–187; Review of International Economics (2003) Vol. 11, pp. 630–650] and for the estimation of the sector bias of skill‐biased technological change [Haskel and Slaughter, European Economic Review (2002) Vol. 46, pp. 1757–1783]. Unfortunately, the proposed correction is negatively biased (sometimes even resulting in negative estimated variances) and therefore leads to overestimation of the inferred significance. We present an unbiased correction procedure and apply it to the models reported by Feenstra and Hanson (1999) and Haskel and Slaughter (2002).

Technical Details

RePEc Handle
repec:bla:obuest:v:67:y:2005:i:3:p:421-433
Journal Field
General
Author Count
4
Added to Database
2026-01-25