Wochenendpendeln von Erwerbstätigen in Deutschland: Analysen mit den Mikrozensen 1991 bis 2012

Rüger, Heiko; Sulak, Harun

doi:10.1007/s13147-017-0496-x

Cited by 11 publications

(15 citation statements)

References 7 publications

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“…However, all coefficients of model 2 and 4 are higher than their counterparts. As higher (opportunity) costs of relocation can be assumed for households than for singles, this observation gives support to the view on commuting as an avoidance-behaviour for relocation (Pfaff 2012;Rüger and Sulak 2017;Scheiner 2016). Nevertheless, the negative coefficients for male professionals remain surprising, since a positive influence was expected.…”

Section: Occupational Implicationssupporting

confidence: 64%

“…As shown above, professionals are known to generally commute longer distances than regular workers. Both a higher salary and a more complex qualification profile have been identified by previous research as channels for this observation (Haas 2012;Groot et al 2012;Dauth and Haller 2018;Haas and Hamann 2008;Rüger and Sulak 2017). Thus, professionals are associated with higher earnings and longer commutes.…”

Section: Commuting On Household Levelsmentioning

confidence: 70%

“…in terms of the commuting distances (e.g. Dauth and Haller 2018;Groot et al 2012;Haas and Hamann 2008) or avoidance strategies such as weekend commuting (Rüger and Sulak 2017).…”

Section: Income Education and Commutingmentioning

confidence: 99%

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A socioeconomic analysis of commuting professionals

et al. 2020

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Everyday commuting as a mobility phenomenon is well-investigated and has been the topic of many contributions. Nevertheless, the distinct determinants of the commuting professional's motivation to regularly travel comparably long distances have not been in the focus of research yet. Thus, this contribution analyses the sociodemographic variables that underpin the well-educated group's decision to commute longer distances than other educational groups. For German Microcensus data, ordered logistic regression models are used to estimate and compare the influences of sociodemographic variables on all commuting employees and commuting professionals. The data of German Microcensus of the year 2012 are used for the analysis. The results imply that some characteristics exert the already known effects on both samples. Others do vary with education and thus illustrate some unique sociodemographic influences on the commuting behaviour of professionals.

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Section: Occupational Implicationssupporting

confidence: 64%

Section: Commuting On Household Levelsmentioning

confidence: 70%

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A socioeconomic analysis of commuting professionals

et al. 2020

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“…Accordingly, Madden's results ( 1981 ) indicate that gender balance in terms of working hours and wages would lead to equal or even longer commutes for women. Other studies show that although gender differences decrease when income and occupation are controlled for, they still remain (Gordon et al 1989 ; Rüger and Sulak 2017 ).…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 98%

“…Women who practice long-distance commuting or overnighting are less likely to have children compared to other women and men (Schneider and Limmer 2008 ; Meil 2010 ; Reuschke 2010b ; Rüger et al 2011 ; Rüger and Sulak 2017 ), and mothers commute less than other women (Preston et al 1993 ; Sandow 2008 ) as well as men in general (Schwanen et al 2004 ). For men, on the other hand, the negative correlation between parenthood and high mobility is lower (Sandow 2008 , Rüger and Sulak 2017 ) or does not exist at all (Rüger et al 2011 ). Hu ( 2020 ) differentiates between two-adult households with one and two workers and finds that having children generally does not change gender differences in one-worker households but increases gender differences in two-worker households.…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 99%

Gender differences in work-related high mobility differentiated by partnership and parenthood status

Wachter

Holz‐Rau

2021

Transportation

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The income situation and the division of labor in households, which are closely related to occupational mobility, are central aspects of the debate on gender equality. Women have shorter commuting times and distances than men and spend fewer nights away from their main place of residence for work-related reasons. Various studies attribute these gender differences to a gendered division of labor and the associated greater involvement of women in household tasks and childcare. Consequently, studies investigating these gender differences focus primarily on employees in relationships and the associated intra-couple interactions, while little attention is paid to singles. Based on the German Family Panel (pairfam) this research aims to broaden the scope of interpretation and examines gender differences in work-related high mobility among employees in partnerships with and without children and among singles. Logistic regression models including gender interaction terms show that gender differences exist not only among employees with partners (and children), but also among singles. The results highlight that gender differences in high mobility are due to factors related to relationships and parenthood, as well as from other factors. Gender differences in high mobility are thus not merely the result of negotiation processes or of (patriarchal) power structures in relationships and gendered labor division. They are also related to gendered occupational segregation and economic disparities and internalized gender preferences that are independent of partnership and parenthood.

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Does weekend commuting really pay off? A panel analysis with German data

Stawarz

Rüger

Skora

2021

Population Space and Place

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Second homes and weekend commuting are frequently used strategies for covering large distances between the place of work and residence. The literature posits a positive association between work‐related spatial mobility, social mobility, and career achievement. However, so far, surprisingly little attention has been paid explicitly to the relationship between weekend commuting (i.e. work‐related residential multi‐locality) and social and career mobility. Therefore, we examine whether and how starting a weekend commuting episode is associated with wage changes. For the statistical framework, we apply fixed effects panel regressions to data of the German Socio‐Economic Panel (SOEP). Overall, the results show that weekend commuting is positively associated with wage gains. However, more detailed analysis that controls for selectivity on wage growth and differentiates by sex and geographical region reveals pronounced differences with regard to the size and timing of the effects.

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Wochenendpendeln von Erwerbstätigen in Deutschland: Analysen mit den Mikrozensen 1991 bis 2012

Cited by 11 publications

References 7 publications

A socioeconomic analysis of commuting professionals

A socioeconomic analysis of commuting professionals

Gender differences in work-related high mobility differentiated by partnership and parenthood status

Does weekend commuting really pay off? A panel analysis with German data

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