Nádia Simões

Prof. Nádia Simões

Department of Economics, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisbon, Portugal
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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 May 2015 in Journal of Economic Surveys
Verified
Journal Article
Open access
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NSNádia Simões
Nádia Simões
Nuno CrespoNuno Crespo
Nuno Crespo
Sandrina B. MoreiraSandrina B. Moreira
Sandrina B. Moreira
The analysis of the decision to enter into self‐employment is a hot topic in the economic literature. Among the elements that most directly influence this decision, individual factors are central. This study produces a comprehensive survey of the impact of these factors, covering both the theoretical arguments and the main conclusions emerging from the empirical studies. We analyze 12 critical determinant factors of the entry into self‐employment grouped into seven categories: (1) basic individual characteristics (gender, age, marital status, and children); (2) family background (parents and spouse); (3) personality characteristics; (4) human capital (education and experience); (5) health condition; (6) nationality and ethnicity; and (7) access to financial resources. While for some of the factors solid conclusions can be found, for others additional research is still needed in order to shed further light on their influence.


23 July 2019 in Social Science Quarterly
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Journal Article
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Nuno CrespoNuno Crespo
Nuno Crespo
NSNádia Simões
Nádia Simões

2 November 2019 in Scientometrics
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Journal Article
Closed access
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NSNádia Simões
Nádia Simões
Nuno CrespoNuno Crespo
Nuno Crespo

27 May 2015 in Empirical Economics
Verified
Journal Article
Open access
PDF file
NSNádia Simões
Nádia Simões
Nuno CrespoNuno Crespo
Nuno Crespo
Sandrina B. MoreiraSandrina B. Moreira
Sandrina B. Moreira
Celeste VarumCeleste Varum
Celeste Varum
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.

1 January 2017 in Argumenta Oeconomica
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Journal Article
Closed access
Nuno CrespoNuno Crespo
Nuno Crespo
NSNádia Simões
Nádia Simões
JPJosé Castro Pinto
José Castro Pinto