The impact of early occupational choice on health behaviors

Kelly, Inas Rashad; Dave, Dhaval; Sindelar, Jody L.; Gallo, William T.

doi:10.1007/s11150-012-9166-5

Cited by 55 publications

(44 citation statements)

References 68 publications

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“…It is known that health behaviours differ across occupational groups – in the Netherlands close to 50 percent of workers in elementary occupations smoke versus just over 20 percent in university-level occupations. There is some evidence that at least part of these differences in health behaviours is caused by (first) occupation (Kelly et al 2011). Future research should focus on disentangling the direct effects of occupation and the indirect effects resulting from behavioural response, which is crucial for policy purposes.…”

Section: Resultsmentioning

confidence: 99%

“…Cutler et al (2011) similarly observe from US data that controlling for health behaviours reduces, but does not eliminate, occupational differences in health. Kelly et al (2011) claim to be the first to estimate the causal impact of initial occupation on health behaviours. They find that entering the labour market as a blue collar worker raises the probability of obesity by 4 percent and of smoking by 3 percent.…”

Section: Core Insights and Empirical Evidencementioning

confidence: 99%

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The Contribution of Occupation to Health Inequality

Ravesteijn¹,

Kippersluis²,

Doorslaer³

2013

Research on Economic Inequality

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Health is distributed unequally by occupation. Workers on a lower rung of the occupational ladder report worse health, have a higher probability of disability and die earlier than workers higher up the occupational hierarchy. Using a theoretical framework that unveils some of the potential mechanisms underlying these disparities, three core insights emerge: (i) there is selection into occupation on the basis of initial wealth, education, and health, (ii) there will be behavioural responses to adverse working conditions, which can have compensating or reinforcing effects on health, and (iii) workplace conditions increase health inequalities if workers with initially low socioeconomic status choose harmful occupations and don’t offset detrimental health effects. We provide empirical illustrations of these insights using data for the Netherlands and assess the evidence available in the economics literature.

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Section: Resultsmentioning

confidence: 99%

Section: Core Insights and Empirical Evidencementioning

confidence: 99%

The Contribution of Occupation to Health Inequality

Ravesteijn¹,

Kippersluis²,

Doorslaer³

2013

Research on Economic Inequality

View full text Add to dashboard Cite

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“…Bosma et al, 1997; Case and Deaton, 2005; Marmot and Smith, 1997). Longitudinal studies have begun to emerge that link work burdens with the health of workers at a point in time and over their careers (Fletcher et al, 2011; Gueorguieva et al, 2009; Gupta and Kristensen, 2008; Kelly et al, 2011; Robone et al, 2011). An important insight gained from this research is that the cumulative or durable impact of working conditions is potentially more relevant than any contemporaneous outcomes to health later in life.…”

Section: Review Of the Literature And Significancementioning

confidence: 99%

“…Additionally, most studies do not adequately deal with the selection bias between job choice and health, making it difficult to draw conclusions regarding causality (Kelly et al, 2011). Workers may select into occupation based on initial wealth, education, and health, or adverse working conditions may trigger behavioral responses that can have compensating or reinforcing effects on health, resulting in nonrandom allocation across occupations (Cottini and Lucifora, 2013; Ravesteijn et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Do working conditions at older ages shape the health gradient?

Schmitz

2016

Journal of Health Economics

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This study examines whether working conditions at the end of workers’ careers impact health and contribute to health disparities across occupations. A dynamic panel correlated random effects model is used in conjunction with a rich data set that combines information from the Health and Retirement Study (HRS), expert ratings of job demands from the Occupational Information Network (O*NET), and mid-career earnings records from the Social Security Administration’s (SSA) Master Earnings File (MEF). Results reveal a strong relationship between positive aspects of the psychosocial work environment and improved self-reported health status, blood pressure, and cognitive function. However, there is little evidence to suggest that working conditions shape observed health disparities between occupations in the years leading up to retirement.

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“…The procedure suggested by Lewbel (2012) uses as instruments the deviations from the mean of a vector of independent exogenous variables, interacted with the residual from the first-stage regression. Previous research has applied this approach to identify the key parameters of interest in cases in which the instrumental variable was not available (Kelly et al 2014), or to provide over-identifying conditions under which the validity of the main instrumental variable could be tested (Sabia 2007). In this paper we use this approach for the latter purpose.…”

mentioning

confidence: 99%

The Causal Effects of the Number of Children on Female Employment - Do European Institutional and Gender Conditions Matter?

Baranowska-Rataj

Matysiak

2016

J Labor Res

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This paper contributes to the discussion on the effects of the number of children on female employment in Europe. Most previous research has either (1) compared these effects across countries, assuming an exogeneity of family size; or (2) used methods that dealt with endogeneity of family size, but that focused on single countries. We combine these two approaches by taking a cross-country comparative perspective and applying quasi-experimental methods. We use instrumental variable models, with multiple births as instruments, and the harmonized data from the European Survey on Income and Living Conditions (EU-SILC). We examine the cross-country variation in the effects of family size on maternal employment across groups of European countries with different welfare state regimes. This step gives us an opportunity to investigate whether the revealed crosscountry differences in the magnitude of the effect of the family size on maternal employment can be attributed to the diversity of European institutional arrangements, as well as the cultural and the structural conditions for combining work and family duties.

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The impact of early occupational choice on health behaviors

Cited by 55 publications

References 68 publications

The Contribution of Occupation to Health Inequality

The Contribution of Occupation to Health Inequality

Do working conditions at older ages shape the health gradient?

The Causal Effects of the Number of Children on Female Employment - Do European Institutional and Gender Conditions Matter?

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