Table 9.
Predicting work-from-home day (probit marginal effects)
| Men | Women | |
|---|---|---|
| CPS Share WFH in occupation | 0.457*** (0.151) | 0.677*** (0.186) |
| Log wage | 0.085** (0.039) | 0.186*** (0.046) |
| Part-time worker | 0.103 (0.101) | 0.012 (0.063) |
| Partner part-time | −0.075** (0.036) | −0.167*** (0.056) |
| Self-employed | 0.011 (0.062) | 0.298*** (0.090) |
| Paid hourly | −0.092** (0.042) | −0.038 (0.054) |
| Union member | 0.061 (0.079) | −0.099 (0.067) |
| Age | 0.013 (0.008) | −0.001 (0.005) |
| Age squared | −0.013 (0.009) | 0.006 (0.006) |
| No high school degree | 0.012 (0.130) | −0.215** (0.106) |
| Some college | 0.111 (0.070) | 0.112 (0.077) |
| College degree | 0.128* (0.072) | 0.211*** (0.076) |
| Graduate degree | 0.171** (0.086) | 0.228*** (0.087) |
| Cohabiter | 0.015 (0.062) | 0.203** (0.088) |
| Non-Hispanic black | −0.061 (0.060) | 0.043 (0.085) |
| Hispanic | 0.049 (0.065) | 0.010 (0.067) |
| Non-Hispanic other race | −0.014 (0.052) | 0.088 (0.084) |
| Parent of 3+ children | −0.070 (0.051) | −0.140** (0.064) |
| Lives with child aged 0 to 2 | 0.074 (0.061) | 0.159** (0.080) |
| Lives with child aged 3 to 5 | 0.033 (0.061) | −0.117* (0.064) |
| Lives with child aged 6 to 12 | −0.050 (0.046) | 0.130** (0.064) |
| Lives with child aged 13 to 17 | 0.097 (0.069) | 0.078 (0.080) |
| Other household adult | −0.060 (0.043) | −0.117** (0.052) |
| Metropolitan area | 0.005 (0.055) | 0.098* (0.058) |
| Business and finance occupations | 0.149* (0.087) | 0.158* (0.088) |
| Computer and math | 0.243** (0.104) | 0.063 (0.186) |
| Architecture, engineering, sciences, legal | 0.108 (0.079) | −0.016 (0.103) |
| Community and social services | 0.479*** (0.156) | −0.048 (0.104) |
| Education and library | 0.105 (0.142) | −0.048 (0.089) |
| Arts, design, entertainment | 0.075 (0.140) | 0.204 (0.160) |
| Healthcare practitioners and support | 0.287* (0.155) | −0.128 (0.087) |
| Sales and services: food, protective, cleaning, personal | −0.009 (0.066) | −0.000 (0.094) |
| Office and administrative support | 0.131 (0.105) | 0.086 (0.089) |
| Production, transportation | −0.053 (0.065) | 0.099 (0.136) |
| Manufacturing | −0.060 (0.069) | −0.256*** (0.061) |
| Wholesale & retail trade | 0.125 (0.102) | −0.237*** (0.075) |
| Transportation & utilities | −0.067 (0.076) | −0.038 (0.169) |
| Information | 0.125 (0.148) | −0.196 (0.129) |
| FIRE, finance, insurance, real estate | 0.198* (0.107) | −0.115 (0.111) |
| Professional, scientific, and technical | 0.092 (0.095) | −0.125 (0.111) |
| Management, administrative services | −0.051 (0.091) | −0.170* (0.103) |
| Education | −0.013 (0.102) | −0.237** (0.093) |
| Healthcare and social assistance | −0.085 (0.084) | −0.312*** (0.074) |
| Arts, entertainment, and recreation | −0.030 (0.152) | −0.204** (0.101) |
| Accommodation and food services | −0.094 (0.095) | −0.241*** (0.075) |
| Other services | 0.014 (0.102) | −0.124 (0.117) |
| Public administration | −0.108* (0.062) | −0.116 (0.121) |
| N | 814 | 741 |
| Pseudo R2 | 0.331 | 0.344 |
| Correlation with WFH day for respondents (parents of kids<13) | 0.553 | 0.595 |
The sample includes men and women in dual-earner couples observed on weekday workdays between May 10, 2020 and December 2021. Workdays are days on which the respondent reports at least 1 h of work. WFH is defined as working exclusively from home on the diary day. Models also include pandemic month indicators. Source: Authors’ calculations based on the American Time Use Survey and Current Population Survey COVID-19 data