Abstract

This article analyses the self-perceived health of the population surveyed by the European Health Interview Survey (EHIS), with 316,277 observations. The main novelties of this research are: first, we use the econometric technique of quantile regression, which will allow us to distinguish the respondent’s income level. Second, the personal, social, lifestyle and macroeconomic context dimensions of the respondents are considered simultaneously as determinants of self-perceived health. In this way, we will be able to see what the determinants of health are, and whether they vary with income. Finally, it is evident that there are indeed different responses to the same stimulus depending on the level of income, especially in the elasticity of the response, seeing how the higher the income, the more or less the same stimulus influences a person. In addition, it is established that age, nationality and employment status are the most influential variables in self-perceived health.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.