000108512 001__ 108512 000108512 005__ 20230519145420.0 000108512 0247_ $$2doi$$a10.1016/j.jtrangeo.2021.103184 000108512 0248_ $$2sideral$$a124803 000108512 037__ $$aART-2021-124803 000108512 041__ $$aeng 000108512 100__ $$0(orcid)0000-0002-1944-4790$$aMarcén, Miriam$$uUniversidad de Zaragoza 000108512 245__ $$aCulture and the cross-country differences in the gender commuting gap 000108512 260__ $$c2021 000108512 5060_ $$aAccess copy available to the general public$$fUnrestricted 000108512 5203_ $$aThis paper explores the role of the gender equality culture in cross-country gender commuting gap differences. To avoid inter-relationships between culture, institutions, and economic conditions in a simple cross-country analysis, we adopt the epidemiological approach. We merge data from the American Time Use Survey for the years 2006–2019 on early-arrival first-generation immigrants and second-generation Americans (U.S.-born children of immigrants) living in the United States with their corresponding annual country of ancestry's Gender Gap Index (GGI). Because all these individuals (with different cultural backgrounds) have grown up under the same laws, institutions, and economic conditions in the US, the gender differences among them in the time devoted to commuting to/from work can be interpreted as evidence of the existence of a cultural impact. Our results show that a culture with more gender equality in the country of ancestry may reduce the gender commuting gap of parents. Specifically, an increase of one standard deviation in the GGI (cultural proxy) increases women's daily commuting time relative to that of men by almost 6 min, a sizeable effect representing 26% of the standard deviation in the gender commuting gap across countries of ancestry. A supplementary analysis provides possible mechanisms through which culture operates and is transmitted. Our results are robust to the use of different subsamples, geographical controls, and selection into employment and telework. 000108512 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-114354RA-I00$$9info:eu-repo/grantAgreement/ES/DGA/S32-20R 000108512 540__ $$9info:eu-repo/semantics/openAccess$$aby-nd$$uhttp://creativecommons.org/licenses/by-nd/3.0/es/ 000108512 590__ $$a5.899$$b2021 000108512 592__ $$a1.854$$b2021 000108512 594__ $$a8.1$$b2021 000108512 591__ $$aECONOMICS$$b40 / 382 = 0.105$$c2021$$dQ1$$eT1 000108512 593__ $$aGeography, Planning and Development$$c2021$$dQ1 000108512 591__ $$aGEOGRAPHY$$b7 / 86 = 0.081$$c2021$$dQ1$$eT1 000108512 593__ $$aEnvironmental Science (miscellaneous)$$c2021$$dQ1 000108512 591__ $$aTRANSPORTATION$$b10 / 37 = 0.27$$c2021$$dQ2$$eT1 000108512 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000108512 700__ $$0(orcid)0000-0001-9957-6613$$aMorales, Marina$$uUniversidad de Zaragoza 000108512 7102_ $$14000$$2415$$aUniversidad de Zaragoza$$bDpto. Análisis Económico$$cÁrea Fund. Análisis Económico 000108512 773__ $$g96 (2021), 103184 [11 pp.]$$pJournal of Transport Geography$$tJournal of Transport Geography$$x0966-6923 000108512 8564_ $$s499307$$uhttps://zaguan.unizar.es/record/108512/files/texto_completo.pdf$$yVersión publicada 000108512 8564_ $$s2709778$$uhttps://zaguan.unizar.es/record/108512/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000108512 909CO $$ooai:zaguan.unizar.es:108512$$particulos$$pdriver 000108512 951__ $$a2023-05-18-14:06:09 000108512 980__ $$aARTICLE