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Associated factors to established entrepreneurs in Colombia, a view from GEM in 2006 - 2022

Author

Listed:
  • León Darío Parra Bernal

    (Universidad EAN)

  • Milenka Linneth Argote Cusi

    (Universidad Santo Tomás)

Abstract

The aim of this article was to analyze the key factors related to established entrepreneurs in Colombia using data from the Global Entrepreneurship Monitor (GEM) at the national level from 2006 to 2022, in cross-sectional cuts. To achieve the described objective, an asymmetric logistic model was used for rare sample events due to the low participation of established entrepreneurs in the total sample. Among the most important results, it was found that sociodemographic characteristics of individuals, such as gender, age, and level of education, as well as self-perception regarding fear of failure and the entrepreneurial environment, showed a higher association and level of significance with established entrepreneurs compared to variables associated with company or productive unit characteristics, such as sector, innovation, and use of new technology

Suggested Citation

  • León Darío Parra Bernal & Milenka Linneth Argote Cusi, 2024. "Associated factors to established entrepreneurs in Colombia, a view from GEM in 2006 - 2022," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 101, pages 105-134, March.
    • Handle: RePEc:lde:journl:y:2024:i:101:p:105-134
    DOI: 10.17533/udea.le.n101a351807
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    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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