Missing wages: How to test for biased estimates in wage functions?

C-Tier
Journal: Economics Letters
Year: 2013
Volume: 118
Issue: 2
Pages: 269-271

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

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

Abstract

This paper investigates how to test for nonresponse selection bias in wage functions induced by missing income information. We suggest an “easy-to-implement” approach which requires information on interviewer IDs and the interview date rather than hard-to-get interviewer characteristics.

Technical Details

RePEc Handle
repec:eee:ecolet:v:118:y:2013:i:2:p:269-271
Journal Field
General
Author Count
2
Added to Database
2026-01-25