Panel Conditioning and Subjective Well-being

Wooden, Mark; Li, Ning

doi:10.1007/s11205-013-0348-1

Cited by 41 publications

(38 citation statements)

References 31 publications

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“…Following previous research using these data,19 29 we tested for this by repeating the estimations after including an additional variable indicating whether the individual responded at the next survey wave. If attrition bias is not present then there should be no significant association between the outcome at time t and survey participation at t+1.…”

Section: Resultsmentioning

confidence: 99%

Long working hours and physical activity

Angrave

Charlwood

Wooden

2015

J Epidemiol Community Health

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Section: Resultsmentioning

confidence: 99%

Long working hours and physical activity

Angrave

Charlwood

Wooden

2015

J Epidemiol Community Health

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“…The selection of time-varying covariates is based on previous longitudinal research analysing the determinants of mental health (e.g., Clark 2003;Mendolia 2014;Wooden and Li 2014). Specifically, our estimation models control for age (specified as a cubic when analysing spouses and as age fixed effects when analysing adolescents); household composition (numbers of children and adults); the presence of a long-term health condition and disability, other than mental illness (and differentiated by the extent to which the condition limits work); physical health; labour force status; preferred working hours (if employed); home ownership and real home equity; regional unemployment rates; location (a set of dummies identifying how distant the household is from a major Australian city); a measure of the socio-economic status advantage or disadvantage of the region (see ABS 2001); the presence of another adult during the survey interview; and an indicator for whether the sample member is a non-respondent at the next survey wave.…”

Section: Covariatesmentioning

confidence: 99%

Job loss and the mental health of spouses and adolescent children

2017

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Panel data from the Household, Income and Labour Dynamics in Australia Survey are used to examine the impact of involuntary job loss on the mental health of spouses and adolescent children. Estimates from fixed effects models show that the mental health of women (but not men) declines following a spouse's job loss, but only if that job loss results in a sustained period of non-employment or if the couple experienced prior financial hardship or relationship strain. A negative effect of parental job loss on the mental health of adolescent children is also found but is restricted to girls. JEL Classification: I31, J10, J65

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“…To test whether our results were affected by bias arising from non-random panel attrition we followed the procedure set out by Verbeek and Nijman (1992) and Wooden and Li (2014) and estimated additional models with a control for whether a respondent participated in the next wave of the survey. The estimates of this attrition control were insignificant.…”

Section: Sensitivity Analysis: Missing Values Panel Attrition and Ommentioning

confidence: 99%

Working time and cigarette smoking: Evidence from Australia and the United Kingdom

Angrave

Charlwood

Wooden

2014

Social Science & Medicine

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Research highlightsWithin-person analysis of the working time-smoking relationship.Analysis based on two nationally representative panel surveys.Longer working hours associated with reduced odds of quitting smoking.Former smokers who work long hours more likely to relapse.Increases in hours also associated with increased cigarette consumption. AbstractCigarette smoking is a risk factor in a range of serious diseases, including cardiovascular disease, cancer, stroke and type II diabetes. Theory suggests that working long hours will increase smoking propensities among workers. Consequently there is a significant body of evidence on the relationship between working time and smoking. Results, however, are inconsistent and therefore inconclusive. This paper provides new evidence on how working time affects smoking behaviour using nationally representative panel data from Australia (from 2002 to 2011) and the United Kingdom (from 1992 to 2011). We exploit the panel design of the surveys to look at within-person changes in smoking behaviour over time as working time changes. In contrast to most previous studies, this means we control for time invariant aspects of personality and genetic inheritance that may affect both smoking propensities and choice of working hours. We find that working long hours tends to increase the chances that former smokers will relapse, reduce the chances that smokers will quit and increase cigarette consumption among regular smokers, and that these effects tend to become more pronounced for workers who usually work very long hours (50 or more hours a week) compared to those who work moderately long hours (40-49 hours a week).

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Panel Conditioning and Subjective Well-being

Cited by 41 publications

References 31 publications

Long working hours and physical activity

Long working hours and physical activity

Job loss and the mental health of spouses and adolescent children

Working time and cigarette smoking: Evidence from Australia and the United Kingdom

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