AUTHORS: Eliana Costa E Silva, Aldina Correia, Alexandra Braga, Vitor Braga

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ABSTRACT: In this paper we present a multinomial logistics regression to model the experts’ perceptions about the Entrepreneurship Framework Conditions, using the most recently available data from GEM, i.e., NES 2013. The expert’s type is described by a nominal variable with five categories, i.e.: “entrepreneur”; “investor, financer, banker”; “policy maker”; “business and support services provider”; and “educator, teacher, entrepreneurship researcher”. The multinomial logistic regression model presented an overall percentage correctness of 54.1%. The results show that the odds of an experts being an “entrepreneur” over being an “educator, teacher, entrepreneurship researcher” increases with the increase in the perception of “the people working for government agencies are competent and effective in supporting new and growing firms”. The same results were found for the odds of being “investor, financer, and banker” and “policy maker”. Furthermore, the odds of being a “policy maker” over being an “educator, teacher, entrepreneurship researcher” increases with the increase of the perception of “the markets for business-to-business goods and services change dramatically from year to year”. The same effect is observed for “business and support services provider”. Additionally, the odds of being a “business and support services provider” also increases with the increase of “the anti-trust legislation is effective and well enforced”.

KEYWORDS: Entrepreneurial Framework Conditions, Global Entrepreneurship Monitor, Multinomial Logistics Regression

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WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 15, 2018, Art. #1, pp. 1-8


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