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A Multinomial Logistics Model for Perceptions on Entrepreneurship

机译：一种多项式物流模型，用于创业的看法

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摘要

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".
机译：在本文中，我们使用来自宝石的最近可用的数据，即NES 2013的最近可用数据提出了一个多项式物流回归来模拟专家对创业框架条件的看法。专家类型由具有五个类别的标称变量来描述，即： “企业家”; “投资者，融资，银行家”; “政策制定者”; “业务和支持服务提供商”;和“教育者，教师，企业家精神研究员”。多项逻辑回归模型呈现了54.1％的总体百分比。结果表明，一位专家的赔率是“教育家，教师，企业家精神研究人员”的增加随着“为政府机构的人民致力于支持新的和不断增长的公司而增加“。发现了“投资者，融资和银行家”和“政策制定者”的几率相同的结果。此外，作为“教育家，教师，企业家精神研究员”的“政策制定者”的几率随着“从一年到年份大幅变化的商业货物和服务市场的市场而变化的感知而增加。为“商业和支持服务提供商”观察到相同的效果。此外，作为“业务和支持服务提供商”的几率也随着“反禁止立法有效并且强制执行良好”的增加而增加。

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