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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., Moreira, S. & Crespo, N. (2020). Determinants of self-employment entry: Evidence from Portugal. In Start-ups and SMEs: concepts, methodologies, tools, and applications. (pp. 834-861).: IGI Global.
Exportar Referência (IEEE)
N. N. Crespo et al.,  "Determinants of self-employment entry: Evidence from Portugal", in Start-ups and SMEs: concepts, methodologies, tools, and applications, IGI Global, 2020, pp. 834-861
Exportar BibTeX
@incollection{crespo2020_1715090466744,
	author = "Simões, N. and Moreira, S. and Crespo, N.",
	title = "Determinants of self-employment entry: Evidence from Portugal",
	chapter = "",
	booktitle = "Start-ups and SMEs: concepts, methodologies, tools, and applications",
	year = "2020",
	volume = "",
	series = "",
	edition = "",
	pages = "834-834",
	publisher = "IGI Global",
	address = "",
	url = "https://www.igi-global.com/gateway/book/234269"
}
Exportar RIS
TY  - CHAP
TI  - Determinants of self-employment entry: Evidence from Portugal
T2  - Start-ups and SMEs: concepts, methodologies, tools, and applications
AU  - Simões, N.
AU  - Moreira, S.
AU  - Crespo, N.
PY  - 2020
SP  - 834-861
DO  - 10.4018/978-1-7998-1760-4.ch044
UR  - https://www.igi-global.com/gateway/book/234269
AB  - Self-employment is increasingly an attractive labor market option worldwide. In a European context,
Portugal is well-known for displaying one of the highest rates of self-employment. This study explores
the main determinants of the probability to enter into self-employment in Portugal. We present results
from a binary logit model using individual data drawn from national-level statistics. Our findings suggest
that individuals older than 35, males, married, low educated, individuals with previous experience, and
heads of household are expected to enter self-employment. The empirical study also reveals important
differences regarding households’ compositions and dimensions, current and former unemployment
levels, and at a regional level in Portuguese NUTS II.
ER  -