Abstract: |
The trend of declining labour force participation by older working-age men,
combined with an ageing population, has led many industrialised nations to
develop policies encouraging older male workers to remain in the labour force.
A better understanding of how an individual’s health influences the labour
force participation decision among this group of workers would facilitate the
development of effective policies. The current research uses the Household,
Income and Labour Dynamics in Australia (HILDA) survey to investigate the
issue. The longitudinal nature of the three-wave HILDA data, which are
currently available, allows for a better control for unobserved heterogeneity
than was possible with earlier data. Therefore, more efficient estimates of
the direct health effects on labour force participation can be obtained than
in a cross-sectional analysis. Unobserved factors are likely to affect both
health and labour force status, therefore we estimate a model that takes the
correlation between the two error terms in the health and labour force status
equations into account. The results show that controlling for unobserved
heterogeneity and the correlation between the two equations is important. That
is, the estimated variances of the unobserved heterogeneity terms are
significantly different from zero in both equations and the two error terms
are correlated. Any restriction on the correlation between the two equations
appears to lead to underestimation of the direct health effects. |