BEGIN:VCALENDAR VERSION:2.0 PRODID:-//events.la.psu.edu//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:STANDARD DTSTART:20201101T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD BEGIN:DAYLIGHT DTSTART:20200308T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:5375-ad6435eaa81a815d163a88a1c5c61178@events.la.psu.edu DTSTAMP:20260514T205745Z DTSTART;TZID=America/New_York:20201116T150000 DTEND;TZID=America/New_York:20201116T160000 SUMMARY:COVID-19 and the Overlap Between Job and Home Responsibilities: New Evid ence for the U.S. DESCRIPTION:\nThe School of Labor and Employment Relations welcomes Dr. Yana Rodgers (Rutgers University) as part of their speaker series on Nov . 16. \;\n\nThe stay-at-home orders associated with the COVID-19 pan demic left many employees teleworking from home and increased the amount of unpaid care work within the home. Such disruptions have the potentia l to upend the gendered distribution of unpaid labor and influence job p roductivity and satisfaction\, particularly for dual-career families.\n\ nTo investigate the extent of change in the gendered distribution of unp aid labor and its impact on job productivity and satisfaction\, Rodgers and her team measured self-reported and partner-perceived contributions to household labor before and during the pandemic among people in cohabi ting\, opposite-sex partnerships in the United States. They conducted a real-time survey in May 2020 that yielded a cross-sectional sample of 92 0 respondents.\n\nResults from bivariate and multivariate analyses show that both men and women experienced an increase in the amount of unpaid work within the home during the pandemic relative to before\, with women performing more. However\, men reported participating in more labor rel ated to the care of elderly and disabled family members compared to wome n. Regression results showed that as men took on a greater share of hous ehold labor\, women reported a greater odds of being more productive in and satisfied with their paid jobs.\n\nPlease join using your Penn State Zoom account: \;https://psu.zoom.us/j/95256355505. \;\n\nFor mo re details: https://events.la.psu.edu/event/covid-19_and_the_overlap_bet ween_job_and_home_responsibilities_new_evidence_for_the_us/ X-ALT-DESC;FMTTYPE=text/html:

The School of L abor and Employment Relations welcomes Dr. Yana Rodgers (Rutgers Univers ity) as part of their speaker series on Nov. 16. 

The stay-at -home orders associated with the COVID-19 pandemic left many employees t eleworking from home and increased the amount of unpaid care work within the home. Such disruptions have the potential to upend the gendered dis tribution of unpaid labor and influence job productivity and satisfactio n, particularly for dual-career families.

To investigate the exten t of change in the gendered distribution of unpaid labor and its impact on job productivity and satisfaction, Rodgers and her team measured self -reported and partner-perceived contributions to household labor before and during the pandemic among people in cohabiting, opposite-sex partner ships in the United States. They conducted a real-time survey in May 202 0 that yielded a cross-sectional sample of 920 respondents.

Result s from bivariate and multivariate analyses show that both men and women experienced an increase in the amount of unpaid work within the home dur ing the pandemic relative to before, with women performing more. However , men reported participating in more labor related to the care of elderl y and disabled family members compared to women. Regression results show ed that as men took on a greater share of household labor, women reporte d a greater odds of being more productive in and satisfied with their pa id jobs.

Please join using your Penn State Zoom account: https://psu.zoom.us/j/9525635550 5. 

For more details: https://events.la.psu.edu/event/covid-19_and_the_ overlap_between_job_and_home_responsibilities_new_evidence_for_the_us/

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