Econometric Modeling to Measure the Social and Economic Factors in the Success of Entrepreneurship

Rolando Rubilar-Torrealba; Karime Chahuán-Jiménez; Hanns de la Fuente-Mella; Mercedes Marzo-Navarro

doi:10.3390/su14137573

Econometric Modeling to Measure the Social and Economic Factors in the Success of Entrepreneurship

Rolando Rubilar-Torrealba, Karime Chahuán-Jiménez, Hanns de la Fuente-Mella, Mercedes Marzo-Navarro

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The purpose of this research is to develop a theoretical model of the entrepreneurial decision of individuals and to measure the effect of a group of variables on this decision. The effects of variables such as income, age, gender, level of education, and entrepreneurial skills are studied. The results show that innovation and entrepreneurship are linked to the personal characteristics of individuals and the social context in which they develop, thus making it possible to guide social policies for the development of the economy. Logit and probit functions were used to measure the effect of the variables on the entrepreneurship phenomenon. The main findings of this research indicate that the variables with a significant impact on the success of entrepreneurship and innovation are income, age, gender, skill, and the interaction between the opportunity and education variables.

Original language	English
Article number	7573
Journal	Sustainability (Switzerland)
Volume	14
Issue number	13
DOIs	https://doi.org/10.3390/su14137573
State	Published - 1 Jul 2022

Keywords

country development
data science
econometric modeling
entrepreneurship
innovation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/su14137573

Cite this

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abstract = "The purpose of this research is to develop a theoretical model of the entrepreneurial decision of individuals and to measure the effect of a group of variables on this decision. The effects of variables such as income, age, gender, level of education, and entrepreneurial skills are studied. The results show that innovation and entrepreneurship are linked to the personal characteristics of individuals and the social context in which they develop, thus making it possible to guide social policies for the development of the economy. Logit and probit functions were used to measure the effect of the variables on the entrepreneurship phenomenon. The main findings of this research indicate that the variables with a significant impact on the success of entrepreneurship and innovation are income, age, gender, skill, and the interaction between the opportunity and education variables.",

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AU - de la Fuente-Mella, Hanns

AU - Marzo-Navarro, Mercedes

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KW - data science

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KW - innovation

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Econometric Modeling to Measure the Social and Economic Factors in the Success of Entrepreneurship

Abstract

Keywords

UN SDGs

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