Rights statement: This is the peer reviewed version of the following article: Harris, M.N., Zhao, X. and Zucchelli, E. (2020), Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions. Oxford Bulletin of Economics and Statistics doi: 10.1111/obes.12379 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1111/obes.12379 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Ageing Workforces, Ill-health and Multi-state Labour Market Transitions
AU - Harris, Mark
AU - Zhao, Xueyan
AU - Zucchelli, Eugenio
N1 - This is the peer reviewed version of the following article: Harris, M.N., Zhao, X. and Zucchelli, E. (2020), Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions. Oxford Bulletin of Economics and Statistics doi: 10.1111/obes.12379 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1111/obes.12379 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - We provide novel evidence on the effects of ill-health on the dynamics of labour state transitions by considering retirement as mobility between full-time work, part-time work, self-employment and inactivity. We employ a dynamic multi-state model which accounts for state dependence and different types of unobservables. Our model allows for both individual heterogeneity and labour-state gravity as well as correlations between labour market states. We estimate this model on rich longitudinal data from the Household, Income and Labour Dynamics in Australia Survey. We find that both ill-health and health shocks greatly increase the probability of leaving full-time employment and moving into inactivity. Simulated dynamic trajectories suggest larger impacts of long-term health conditions than those of a one-off health shock and some evidence of health-driven retirement pathways via part-time work and self-employment. Our findings also indicate that the effects of health changes could be underestimated and the magnitude of true labour market state dependence overestimated if individual effects or labour dynamic transitions are not accounted for in the model.
AB - We provide novel evidence on the effects of ill-health on the dynamics of labour state transitions by considering retirement as mobility between full-time work, part-time work, self-employment and inactivity. We employ a dynamic multi-state model which accounts for state dependence and different types of unobservables. Our model allows for both individual heterogeneity and labour-state gravity as well as correlations between labour market states. We estimate this model on rich longitudinal data from the Household, Income and Labour Dynamics in Australia Survey. We find that both ill-health and health shocks greatly increase the probability of leaving full-time employment and moving into inactivity. Simulated dynamic trajectories suggest larger impacts of long-term health conditions than those of a one-off health shock and some evidence of health-driven retirement pathways via part-time work and self-employment. Our findings also indicate that the effects of health changes could be underestimated and the magnitude of true labour market state dependence overestimated if individual effects or labour dynamic transitions are not accounted for in the model.
KW - ill-health
KW - dynamic panel models
KW - labour market transitions
KW - retirement
U2 - 10.1111/obes.12379
DO - 10.1111/obes.12379
M3 - Journal article
VL - 83
SP - 199
EP - 227
JO - Oxford Bulletin of Economics and Statistics
JF - Oxford Bulletin of Economics and Statistics
SN - 0305-9049
IS - 1
ER -