Publicação
A semi-parametric survival analysis of business demography dynamics in Portugal
| Resumo: | We address the post-entry performance of new Portuguese firms by investigating the structural characteristics of the hazard and survival functions, using semi-parametric survival analysis. It is based on the application of the entrepreneurship definitions and methodology of the “Manual on Business Demography Statistics” (OECD/Eurostat, 2007) to the Quadros de Pessoal dataset. The main contribution of this work is the application of a recent internationally comparable methodology for entrepreneurship to provide a multidimensional overview of firm and survival dynamics over a period of eighteen years, while guaranteeing international comparability. By correcting heterogeneity with a different specification model, we obtain stronger magnitudes of the hazard ratios found previously. |
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| Autores principais: | Nunes, Alcina |
| Outros Autores: | Sarmento, Elsa |
| Assunto: | Entrepreneurship Survival analysis Portugal Complementary log-log model Business dynamics |
| Ano: | 2010 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | We address the post-entry performance of new Portuguese firms by investigating the structural characteristics of the hazard and survival functions, using semi-parametric survival analysis. It is based on the application of the entrepreneurship definitions and methodology of the “Manual on Business Demography Statistics” (OECD/Eurostat, 2007) to the Quadros de Pessoal dataset. The main contribution of this work is the application of a recent internationally comparable methodology for entrepreneurship to provide a multidimensional overview of firm and survival dynamics over a period of eighteen years, while guaranteeing international comparability. By correcting heterogeneity with a different specification model, we obtain stronger magnitudes of the hazard ratios found previously. |
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