By: |
Cobus Burger (Department of Economics, University of Stellenbosch) |
Abstract: |
Conventional wage analyses suffers from a debilitating ailment: since there
are no observable market wages for individuals who do not work, findings are
limited to the sample of the population that are employed. Due to the problem
of sample selection bias, using this subsample of working individuals to draw
conclusions for the entire population will lead to inconsistent estimates.
Remedial procedures have been developed to address this issue. Unfortunately,
these models strongly rely on the assumed parametric distribution of the
unobservable residuals as well as the existence of an exclusion restriction,
delivering biased estimates if either of these assumptions is violated. This
has given rise to a recent interest in semi-parametric estimation methods that
do not make any distributional assumptions and are thus less sensitive to
deviations from normality. This paper will investigate a few proposed
solutions to the sample selection problem in an attempt to identify the best
model of earnings for South African data. |
Keywords: |
Semiparametric and nonparametric methods; Simulation methods; Truncated and censored models; Labour force and employment, Size, and structure |
JEL: |
C14 C15 C34 J21 |
Date: |
2008 |
URL: |
http://d.repec.org/n?u=RePEc:sza:wpaper:wpapers66&r=afr |