130668 20240130150402.0 doi 10.1111/pirs.12424 sideral 110574 ART-2019-110574 eng Gimenez-Nadal, José Ignacio Universidad de Zaragoza (orcid)0000-0002-1610-5451 Modelling commuting time in the US: Bootstrapping techniques to avoid overfitting 2019 The research on commuting has emerged in recent decades, but the issue of whether the empirical techniques used are appropriate has not been analysed. Thus, results from prior research could be based on non-accurate models, leading to misleading conclusions. We apply an algorithmic approach based on bootstrapping, variable selection, and mean absolute prediction errors, which is designed to avoid overfitting. Using the American Time Use Survey, we find that models with a reduced set of explanatory variables have similar accuracy to standard econometric models. Our results shed light on the importance of determining whether models can be overfitted. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/DGA/S32-17R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.22 2019 GEOGRAPHY 37 / 84 = 0.44 2019 Q2 T2 ECONOMICS 96 / 371 = 0.259 2019 Q2 T1 REGIONAL & URBAN PLANNING 23 / 39 = 0.59 2019 Q3 T2 ENVIRONMENTAL STUDIES 68 / 123 = 0.553 2019 Q3 T2 0.91 2019 Geography, Planning and Development 2019 Q1 Environmental Science (miscellaneous) 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Molina, José Alberto Universidad de Zaragoza (orcid)0000-0002-9437-4606 Velilla, Jorge Universidad de Zaragoza (orcid)0000-0002-0553-6360 4000 415 Universidad de Zaragoza Dpto. Análisis Económico Área Fund. Análisis Económico 98, 4 (2019), 1667-1684 Pap. reg. sci. Papers in Regional Science 1056-8190 785903 http://zaguan.unizar.es/record/130668/files/texto_completo.pdf Versión publicada 1650821 http://zaguan.unizar.es/record/130668/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:130668 articulos driver 2024-01-30-14:06:34 ARTICLE