Empirical earnings functions for Iran

C-Tier
Journal: Applied Economics
Year: 2001
Volume: 33
Issue: 1
Pages: 11-21

Authors (2)

Satya Paul (Australian National University) Ahmad Assadzadeh (not in RePEc)

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

Some recent studies have debated the appropriateness of semi-log earnings function in approximating actual earnings profiles. This study contributes further to this debate by estimating four specifications of earnings function, namely, semi-log quadratic, semi-log cubic, quadratic and cubic with cross section data for 4035 full-time urban male earners in Iran for 1993. The analysis shows that the semi-log quadratic earnings function fits the actual empirical earnings profiles very poorly. The quadratic earnings function provides a much better approximation to the actual earnings. Measures of out-of-sample prediction errors also show the superiority of quadratic function over others.

Technical Details

RePEc Handle
repec:taf:applec:v:33:y:2001:i:1:p:11-21
Journal Field
General
Author Count
2
Added to Database
2026-01-28