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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Simões, N., Crespo, N., Moreira, S. & Varum, C. (2016). Measurement and determinants of health poverty and health richness: evidence from Portugal. Empirical Economics. 50 (4), 1331-1358
Exportar Referência (IEEE)
N. N. Crespo et al.,  "Measurement and determinants of health poverty and health richness: evidence from Portugal", in Empirical Economics, vol. 50, no. 4, pp. 1331-1358, 2016
Exportar BibTeX
@article{crespo2016_1719084522343,
	author = "Simões, N. and Crespo, N. and Moreira, S. and Varum, C.",
	title = "Measurement and determinants of health poverty and health richness: evidence from Portugal",
	journal = "Empirical Economics",
	year = "2016",
	volume = "50",
	number = "4",
	doi = "10.1007/s00181-015-0967-2",
	pages = "1331-1358",
	url = "http://link.springer.com/article/10.1007%2Fs00181-015-0967-2"
}
Exportar RIS
TY  - JOUR
TI  - Measurement and determinants of health poverty and health richness: evidence from Portugal
T2  - Empirical Economics
VL  - 50
IS  - 4
AU  - Simões, N.
AU  - Crespo, N.
AU  - Moreira, S.
AU  - Varum, C.
PY  - 2016
SP  - 1331-1358
SN  - 0377-7332
DO  - 10.1007/s00181-015-0967-2
UR  - http://link.springer.com/article/10.1007%2Fs00181-015-0967-2
AB  - The analysis of health inequalities is a critical topic for health policy. With data for Portugal, we propose an algorithm to convert information provided by the official National Health Survey to EuroQol. Based on these data, we make two contributions. First, we extend measures and methods commonly applied in other fields of economic research in order to quantify the phenomena of health poverty, richness, and inequality. Second, using an ordered probit model, we evaluate the determinants of health inequalities in Portugal. The results show that there is a remarkable level of health inequality, with significant rates of poverty (11.64 %) and richness (22.64 %). The econometric study reveals that gender, age, education, region of residence, and eating habits are among the most critical determinant factors of health.
ER  -