109524 20220120235522.0 doi 10.1007/s00181-017-1355-x sideral 102283 ART-2019-102283 eng Gimenez-Nadal, José Ignacio Universidad de Zaragoza (orcid)0000-0002-1610-5451 Resampling and bootstrap algorithms to assess the relevance of variables: applications to cross-section entrepreneurship data 2019 In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measure the importance of a variable, or a set of variables, in econometric models. This algorithmic approach allows us to check the real weight of a variable in a model, avoiding the biases of classical tests, and to select the more relevant variables, or models, in terms of predictability, by reducing dimensions. We apply this methodology to the Global Entrepreneurship Monitor data for the year 2014, to analyze the individual- and national-level determinants of entrepreneurial activity, and compare the results with a forward selection approach, also based on resampling predictability, and a standard forward stepwise selection process. We find that our proposed techniques offer more accurate results, which show that innovation and new technologies, peer effects, the sociocultural environment, entrepreneurial education at University, R&D transfers, and the availability of government subsidies are among the most important predictors of entrepreneurial behavior. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MINECO/ECO2012-34828 info:eu-repo/grantAgreement/ES/MINECO/MTM2014-53340-P info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.308 2019 SOCIAL SCIENCES, MATHEMATICAL METHODS 30 / 51 = 0.588 2019 Q3 T2 ECONOMICS 201 / 371 = 0.542 2019 Q3 T2 0.586 2019 Social Sciences (miscellaneous) 2019 Q1 Statistics and Probability 2019 Q2 Economics and Econometrics 2019 Q2 Mathematics (miscellaneous) 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Lafuente, Miguel Universidad de Zaragoza (orcid)0000-0001-8471-3224 Molina, José Alberto Universidad de Zaragoza (orcid)0000-0002-9437-4606 Velilla Gambó, Jorge Universidad de Zaragoza (orcid)0000-0002-0553-6360 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 4000 415 Universidad de Zaragoza Dpto. Análisis Económico Área Fund. Análisis Económico 56, 1 (2019), 233-267 Empir. econ. Empirical Economics 0377-7332 1096796 http://zaguan.unizar.es/record/109524/files/texto_completo.pdf Postprint 1367735 http://zaguan.unizar.es/record/109524/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:109524 articulos driver 2022-01-20-22:51:17 ARTICLE