Table 2
Impact of Power on Leisure Time: Full Sample
By Country, Gender, and Type of Day
United States
Denmark
Women |
Men |
Women |
Men | |||||
Work |
Non-Work |
Work Non-Work |
Work |
Non-Work |
Work |
Non-Work | ||
Days |
Days |
Days |
Days |
Days |
Days |
Days |
Days | |
Power: Education Share |
17.14 |
121.23 ** |
43.77 |
138.85 * |
-10.19 |
190.46 * |
-94.15 |
89.19 |
Married |
-2.43 |
-14.39 |
-7.43 |
-30.44 ** |
-19.36 * |
13.49 |
6.40 |
8.83 |
Enrolled in School |
-12.83 |
-55.59 *** |
-22.66 ** |
-45.86 *** |
-54.91 *** |
-161.84 *** | ||
Education (years) |
-2.52 *** |
-2.68 *** |
-1.44 * |
-6.95 *** |
0.23 |
-3.96 |
-2.54 |
-3.73 |
Age |
-5.53 *** |
-12.13 *** |
-7.40 *** |
-11.81 *** |
2.91 |
-11.28 ** |
-2.22 |
-18.68 *** |
Age Squared/100 |
7.23 *** |
15.91 *** |
8.79 *** |
14.40 *** |
-3.30 |
11.39 * |
2.03 |
19.32 *** |
# Children age 0-2 |
-46.02 *** |
-70.59 *** |
-32.44 *** |
-60.52 *** |
-45.71 *** |
-82.75 *** |
-49.84 *** |
-92.02 *** |
# Children age 3-5 in US, 3-6 in DK |
-27.67 *** |
-41.48 *** |
-19.35 *** |
-38.09 *** |
-29.84 *** |
-36.32 *** |
-22.88 ** |
-37.99 ** |
# Children age 6-9 in US, 7-9 in DK |
-9.26 ** |
-16.54 *** |
-11.34 *** |
-20.07 *** |
-16.55 |
-27.40 ** |
-16.31 |
-45.07 ** |
# Children age 10-14 |
-11.70 *** |
-18.98 *** |
-3.17 |
-9.97 ** |
-16.52 ** |
-11.94 |
1.14 |
-2.72 |
# Children age 15-17 |
0.08 |
-16.06 *** |
-1.89 |
4.37 |
3.77 |
15.68 |
-11.52 |
-7.65 |
Number of Other Adults |
-7.65 * |
-2.26 |
-1.76 |
1.64 |
-10.11 |
4.96 |
8.99 |
-14.45 |
Unemployment Rate |
0.65 |
-0.09 |
1.40 |
2.70 |
2.65 |
6.73 ** |
-6.75 ** |
-1.36 |
Winter |
-0.13 |
10.20 * |
8.75 * |
3.82 |
-8.87 |
-61.55 ** |
-12.46 |
14.60 |
Spring |
-1.92 |
1.21 |
-1.82 |
-26.13 *** |
-8.44 |
-15.76 |
-16.10 * |
-34.80 *** |
Summer |
4.34 |
15.04 ** |
-2.72 |
9.40 |
23.18 |
-10.18 |
-27.84 |
-14.07 |
Weekend/Holiday |
44.33 *** |
39.84 *** |
65.60 *** |
36.29 *** |
42.82 *** |
56.75 *** |
71.87 *** |
46.07 *** |
Number of Observations |
3978 |
7597 |
5489 |
4915 |
785 |
1158 |
961 |
876 |
R-Squared |
0.0797 |
0.1146 |
0.0846 |
0.0751 |
0.0776 |
0.1162 |
0.0894 |
0.1035 |
Asterisks indicate statistical significance: *** significance at the 1% level, ** at the 5% level, and * at the 10% level.
The Danish models also include a dummy variable to identify immigrants and a dummy variable to identify those residing in Copenhagen.
The US models also include controls for Black, Hispanic, and Asian race/ethnicity; 3 regional dummies; 3 metro status indicators; and 3 year dummies.
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