Income-related reporting heterogeneity in self-assessed health: evidence from France

Étilé, Fabrice; Milcent, Carine

doi:10.1002/hec.1164

Cited by 118 publications

(103 citation statements)

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“…It has been found to be a good predictor of mortality even after controlling for more objective measures of health (Idler and Kasl, 1991;Idler and Benyamini, 1997;Bath, 2003). However, the probability of reporting good or bad health may suffer from individual reporting heterogeneity (Etilé and Milcent, 2006;Tubeuf et al, 2008). So, we also use more precise measures of health capturing specific diseases or symptoms.…”

Section: Variablesmentioning

confidence: 99%

“…Health-reporting biases have long been studied in the literature. They have been shown to be potentially large and to vary according to a number of dimensions, including education (Bago d 'Uva et al, 2011;Schneider et al, 2012), income (Etilé and Milcent, 2006;Johnston et al, 2009;Schneider et al, 2012), age (Bago d'Uva et al, 2008;Lindeboom and van Doorslaer, 2004) and gender (Bago d'Uva et al, 2008;Lindeboom and van Doorslaer, 2004). Another strand of the literature focuses specifically on the health-reporting behaviour of women as compared to men's and the debate is still open as to whether women tend to over-report minor health problems as compared to men and, if so, why -see the special issues of Social Science &Medicine, 36(1), 1993 and48(1), 1999.…”

Section: Introductionmentioning

confidence: 99%

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Self-reported health and gender: The role of social norms

Caroli

Weber-Baghdiguian

2016

Social Science & Medicine

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents inIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. We investigate the role of social norms in accounting for differences in self-reported health as reported by men and women. Using the European Working Conditions Survey (EWCS, 2010), we first replicate the standard result that women report worse health than men, whatever the health outcome we consider -i.e. general self-assessed health but also more specific symptoms such as skin problems, backache, muscular pain in upper and lower limbs, headache and eyestrain, stomach ache, respiratory difficulties, depression and anxiety, fatigue and insomnia. We then proxy social norms by the gender structure of the workplace environment and study how the latter affects self-reported health for men and women separately. Our findings indicate that individuals in workplaces where women are a majority tend to report worse health than individuals employed in male-dominated work environments, be they men or women. These results are robust to controlling for a large array of working condition indicators, which allows us to rule out that the poorer health status reported by individuals working in female-dominated environments could be due to worse job quality. We interpret this evidence as suggesting that social norms associated with specific gender environments play an important role in explaining differences in health-reporting behaviours across gender, at least in the workplace.JEL Classification: I12, I19, J16

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Section: Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self-reported health and gender: The role of social norms

Caroli

Weber-Baghdiguian

2016

Social Science & Medicine

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“…In detail, sub-groups of the population systematically use different thresholds in classifying their health into a categorical measure. Also exploring the income-health nexus, Etilé and Milcent (2006) separate the income effect on selfassessed health into a health production effect and into an effect reflecting heterogeneity, and provide evidence of a convex relationship between reporting heterogeneity and income. In a recent study, Ziebarth (2010) investigates the impact of income inequality using a concentration index as inequality measure.…”

Section: Literature Reviewmentioning

confidence: 99%

Reporting Heterogeneity in Self-Assessed Health Among Elderly Europeans: The Impact of Mental and Physical Health Status

2011

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Self-assessed health (SAH) is a frequently used measure of individuals" health status. It is also prone to reporting heterogeneity. To control for reporting heterogeneity valid measures of the objective health status are needed. The topic becomes even more complex for cross-country comparisons, as many key variables tend to vary strongly across countries, influenced by cultural and institutional differences. This study aims at exploring the key drivers for reporting heterogeneity in SAH in an international context. To this end, country specific effects are accounted for and the objective health measure is concretized, separating out effects of mental and physical health conditions. We use panel data from the Survey of Health, Ageing and Retirement in Europe (SHARE) which provides a rich dataset on the elderly European population. To obtain distinct indicators for physical and mental health conditions two indices were constructed. Finally, to identify potential reporting heterogeneity in SAH a generalized ordered probit model is estimated. We find evidence that health behaviour as well as health care utilization, mental and physical health condition as well as country characteristics affect reporting behaviour. We conclude that observed and unobserved heterogeneity play an important role when analysing SAH and have to be taken into account.

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“…The dependence of reporting health on income is analysed by Etilé and Milcent [15]. They view self-assessed health as a biased measure of clinical health (the target outcome for public health policies).…”

Section: Literature Reviewmentioning

confidence: 99%

I Feel Good! Gender Differences and Reporting Heterogeneity in Self-Assessed Health

Pfarr

Schneider

et al. 2010

SSRN Journal

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For empirical analysis and policy-oriented recommendation, the precise measurement of individual health or well-being is essential. The problem with variables based on questionnaires such as selfassessed health is that the answer may depend on individual reporting behaviour. Moreover, if individual"s health perception varies with certain attitudes of the respondent reporting heterogeneity may lead to index or cut-point shifts of the health distribution, causing estimation problems. We analyse the reporting behaviour of individuals on their self-assessed health status, a five-point categorical variable. We explore observed heterogeneity in categorical variables and include unobserved individual heterogeneity using German panel data. Estimation results show different impacts of socioeconomic and health related variables on the five subscales of self-assessed health.Moreover, the answering behaviour varies between female and male respondents, pointing to gender specific perception and assessment of diseases. Reporting behaviour on self-assessed health questions in surveys is problematic due to a possible heterogeneity. Hence, in case of reporting heterogeneity, using self-assessed measures in empirical studies may be misleading or at least ambiguous. JEL-Classification: I12, C21

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Income-related reporting heterogeneity in self-assessed health: evidence from France

Cited by 118 publications

References 31 publications

Self-reported health and gender: The role of social norms

Self-reported health and gender: The role of social norms

Reporting Heterogeneity in Self-Assessed Health Among Elderly Europeans: The Impact of Mental and Physical Health Status

I Feel Good! Gender Differences and Reporting Heterogeneity in Self-Assessed Health

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