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

The importance of the individual’s health behaviour for the health production process is beyond controversy. Health relevant behaviour can be viewed as a key variable in the health production process. Changes in the behaviour may influence individual’s assessment of health. Following this idea, we use German microdata to identify determinants of smoking, drinking, and obesity and their impact on health. Our empirical approach allows for the simultaneity of behaviours and self-reported health. In addition, we account for endogeneity of health behaviours and take aspects of reporting heterogeneity of self-reported health into account. We find that health behaviour is directly related to the socioeconomic status and observe gender-specific differences in the determinants of drinking, smoking, and heavy body weight in particular. The influence on health is also gender specific. While we do not find any impact of smoking, overweight is relevant only for males and no clear pattern for alcohol exists.

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. This series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science. Terms of use: Documents inThe decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly. AbstractThe economic costs of chronic health conditions and severe illnesses like diabetes, coronary heart disease or cancer are immense. Several clinical trials give information about the importance of individual behaviour for the prevalence of these illnesses. Changes in health relevant behaviour may therefore lead to a decline of avoidable illnesses and related health care costs. In this context, we use German micro data to identify determinants of smoking, drinking and obesity. Our empirical approach allows for the simultaneity between adverse health behaviour and self-reported health as a measure of the individual health capital stock. We can show that health behaviour is related to the socioeconomic status of an individual. Furthermore, we find gender-specific differences in behaviour as well as differences in the determinants of drinking, smoking and heavy body weight in particular.JEL-Classification: I12, C31, D12

No abstract

SummaryThe paper analyses the relationship between health and education in a two period human capital framework. The resulting substitution and investment effects between health and advanced training work in opposite direction and leave open questions for the empirical part. As econometric model we use a random effects probit model for panel data. Our data consist of 322 individuals for the two years 2004 and 2006. Thereby, we take into account that self-reported measures of health are usually vulnerable to a reporting bias due to anticipation and measurement errors. Estimation results show a dominant substitution effect between different levels of education, indicating that good health implies higher learning efficiency so that the same income can be achieved with lower investment in advanced training. In contrast, we find a dominant investment effect within an educational level, indicating that better health leads individuals with higher education to invest more in additional training.