Literature DB >> 23649673

The effects of health status and health shocks on hours worked.

Lixin Cai1, Kostas Mavromaras, Umut Oguzoglu.   

Abstract

We investigate the impact of health on working hours. This is in recognition of the fact that leaving the labour market because of persistently low levels of health status, or because of new health shocks, is only one of the possible responses open to employees. We use the first six waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey to estimate the joint effect of health status and health shocks on working hours. To account for zero working hours, we use a dynamic random effects Tobit model of working hours. We follow Heckman (1981) and approximate the unknown initial conditions with a static equation that utilises information from the first wave of the data. Predicted individual health status is used to ameliorate the possible effects of measurement error and endogeneity. We conclude that overall, lower health status results in fewer working hours and that when they occur, health shocks lead to further reductions in working hours. Estimation results show that the model performs well in separating the time-persistent effect of health status and the potentially more transient health shocks on working hours.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  C330; I100; J220; Tobit estimation; health; health shocks; hours worked

Mesh:

Year:  2013        PMID: 23649673     DOI: 10.1002/hec.2931

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  4 in total

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2.  Wealth in Middle and Later Life: Examining the Life Course Timing of Women's Health Limitations.

Authors:  Lindsay R Wilkinson; Kenneth F Ferraro; Sarah A Mustillo
Journal:  Gerontologist       Date:  2019-09-17

3.  Dynamics in Health and Employment: Evidence from Indonesia.

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Journal:  World Dev       Date:  2017-12-26

4.  The Impact of Public Health Insurance on Household Credit Availability in Rural China: Evidence from NRCMS.

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Journal:  Int J Environ Res Public Health       Date:  2020-09-10       Impact factor: 3.390

  4 in total

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