Can comparability of self-assessed health be improved? Testing a popular approach using mortality rate
Başlık çevirisi mevcut değil.
- Tez No: 913646
- Danışmanlar: DR. MARREİROS BAGO D’UVA
- Tez Türü: Yüksek Lisans
- Konular: Belirtilmemiş.
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2016
- Dil: İngilizce
- Üniversite: Erasmus Universiteit Rotterdam
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 52
Özet
The validity of the cross-country health disparities measured by self-assessed health (SAH) have been discussed for a long time with reporting heterogeneity problem. This problem is underestimation or overestimation of health systematically associated with observed characteristics of the people arisen from unobserved characteristics such as expectation for well-being, optimism, tolerance to bad situation, propensity to use extreme categories, etc. For more than a decade, the vignette method has been applied in varied populations in order to improve validity of the studies applying SAH as a principal instrument, by searching new sources of heterogeneity in reporting behavior, and recently by testing robustness of the method's assumptions. In our research, we argue that a latent health measure estimated through the hypothetical ordered probit model (HOPIT), should estimate survival probability better than latent health estimated by ordered probit model, provided that the assumptions of the vignette method hold. The data has been drawn from the Survey of Health, Ageing and Retirement in Europe (SHARE). Therefore, we have estimated three models: standard ordered probit model, HOPIT model for estimation of health and probit model for estimations of survival probability. We have analyzed reporting heterogeneity based on demographic, socioeconomic, cultural and health factors in 7 EU countries (Belgium, France, Germany, Italy, the Netherlands, Spain, Sweden). The subsequent survival probability at wave 2 (short-term follow-up) and at wave 5 (long-term follow-up) have been predicted for the respondents who joined the survey for the first time at first wave. As a result, we have not found out conspicuous difference between the predictive ability of the vignette adjusted and unadjusted health estimated mobility SAH for the survival probability. Consequently, our analysis has revealed mixed results for removing reporting heterogeneity in our samples. We have, therefore, suggested that new generation vignettes should be applied to the respondents enhancing response consistency and more distinctive questions should be asked for measuring expectation for life in the upcoming waves of SHARE which is major pillar of the European Research Area.
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