@article{Zilanawala_44_26, author = {Zilanawala, Afshin}, title={{Educational gradients in nonstandard work schedules among mothers and fathers in the United Kingdom}}, journal = {Demographic Research}, volume = {44}, number = {26}, pages = {609--626}, doi = {10.4054/DemRes.2021.44.26}, year = {2021}, abstract = {Background: Mothers’ and fathers’ participation in nonstandard employment across children’s lives is not well understood in the United Kingdom. Objective: The first objective is to describe the prevalence of nonstandard work schedules (e.g., evenings, weekends, nights) among employed mothers and fathers using longitudinal data. The second objective is to document the education gradient in parental nonstandard work schedules over the first decade of a child’s life. Methods: Linear probability models predict participation in nonstandard work schedules, adjusting for demographic variables, at each survey wave by education for each parent, using the first five waves of the Millennium Cohort Study. Results: Employed mothers with less than NVQ2 (or less than high school) were most likely to work nonstandard schedules across childhood. Among employed fathers, there was little difference in the probability of working nonstandard schedules by education. The most common type of shift for mothers (30%‒36%) and fathers (nearly 42%‒46%) was evening work. Mothers and fathers with NVQ4 or more (college degree or higher) were most likely to work regularly in the evening at all ages. Night working, the least common type of schedule, did not differ by education for both parents. Mothers and fathers with the least education were most likely to work weekend schedules at all ages. Contribution: This article documents the pervasiveness of parental nonstandard employment, which has received little attention in the UK; finds that the education gradient in nonstandard work schedules is contingent on type of schedule; and critically incorporates information about fathers’ nonstandard schedules. }, URL = {https://www.demographic-research.org/volumes/vol44/26/}, eprint = {https://www.demographic-research.org/volumes/vol44/26/44-26.pdf} }