On the Price of Recreation Goods As A

Split or Straight? Evidence of the Effects of Work Schedules on Workers’ Well-Being, Time Use, and Productivity

Jorge GonzálezChapela, Centro Universitario de la Defensa de Zaragoza

ONLINEAPPENDIX

Pages: 25

TABLE B.1—PROBIT EQUATIONS FOR SUFFERING FROM ROLE OVERLOAD (MARGINAL EFFECTS)
Women / Men
(1) / (2) / (3) / (4)
ROM1 / ROM2 / ROM1 / ROM2
Independent variables / M.E. / S.E. / M.E. / S.E. / M.E. / S.E. / M.E. / S.E.
Split shifts / -0.002 / 0.012 / 0.048*** / 0.017 / -0.006 / 0.006 / -0.013 / 0.012
Age 31 - 35 / 0.019 / 0.020 / 0.037 / 0.026 / -0.006 / 0.010 / -0.029 / 0.017
Age 36 - 40 / 0.038 / 0.021 / 0.037 / 0.027 / -0.002 / 0.010 / -0.033 / 0.018
Age 41 - 45 / 0.042 / 0.022 / 0.046 / 0.028 / 0.009 / 0.012 / -0.041** / 0.019
Age 46 - 50 / 0.054** / 0.024 / 0.038 / 0.029 / -0.011 / 0.011 / -0.075*** / 0.018
Age >=51 / 0.023 / 0.022 / -0.030 / 0.028 / -0.027*** / 0.009 / -0.102*** / 0.017
Spouse/partner present / 0.046*** / 0.015 / 0.119*** / 0.022 / 0.031*** / 0.009 / 0.077*** / 0.017
Presence of children [0-5] / 0.020 / 0.017 / 0.084*** / 0.024 / 0.018** / 0.009 / 0.044*** / 0.016
Presence of children [6-17] / 0.044*** / 0.014 / 0.069*** / 0.020 / -0.008 / 0.007 / 0.011 / 0.013
Household with 2 adults / 0.012 / 0.027 / -0.043 / 0.036 / -0.027 / 0.017 / -0.061** / 0.029
Household with 3 adults / 0.007 / 0.028 / -0.060 / 0.036 / -0.025 / 0.013 / -0.080*** / 0.026
Household with 4+ adults / -0.006 / 0.028 / -0.067 / 0.038 / -0.024 / 0.014 / -0.102*** / 0.026
Disabled / 0.096*** / 0.021 / 0.135*** / 0.025 / 0.066*** / 0.012 / 0.099*** / 0.018
High school graduate / 0.016 / 0.015 / 0.019 / 0.021 / 0.011 / 0.008 / 0.036*** / 0.013
University degree / -0.030 / 0.019 / 0.001 / 0.028 / 0.020 / 0.013 / 0.053** / 0.021
Agriculture / -0.033 / 0.035 / -0.099 / 0.056 / -0.023 / 0.013 / -0.060** / 0.025
Construction / 0.046 / 0.046 / -0.032 / 0.056 / -0.006 / 0.009 / -0.028 / 0.016
Trade / 0.006 / 0.024 / -0.024 / 0.033 / 0.008 / 0.012 / 0.014 / 0.019
Hotel industry / -0.038 / 0.026 / -0.071 / 0.041 / -0.013 / 0.019 / -0.042 / 0.037
Transport / -0.020 / 0.030 / -0.019 / 0.046 / -0.002 / 0.013 / 0.009 / 0.024
Financial intermediation / -0.051 / 0.028 / 0.025 / 0.050 / 0.021 / 0.018 / 0.000 / 0.028
Real state / -0.033 / 0.021 / -0.020 / 0.033 / -0.004 / 0.013 / 0.012 / 0.025
Public administration / -0.020 / 0.027 / -0.097*** / 0.037 / -0.021 / 0.012 / -0.023 / 0.028
Educational services / -0.020 / 0.027 / -0.111*** / 0.037 / -0.010 / 0.016 / -0.013 / 0.034
Health services / -0.009 / 0.026 / -0.096*** / 0.035 / -0.007 / 0.017 / 0.037 / 0.036
Other services / -0.036 / 0.024 / -0.108*** / 0.036 / 0.008 / 0.018 / -0.038 / 0.030
Manager / 0.140** / 0.067 / 0.135 / 0.071 / 0.030 / 0.025 / 0.059 / 0.039
Technician/professional / 0.016 / 0.026 / 0.067** / 0.034 / 0.042 / 0.021 / 0.026 / 0.029
Supporting technician/prof. / -0.004 / 0.018 / 0.037 / 0.026 / 0.027 / 0.016 / 0.027 / 0.024
Service worker / -0.019 / 0.022 / 0.012 / 0.034 / 0.013 / 0.020 / -0.047 / 0.028
Sales worker / -0.029 / 0.023 / -0.035 / 0.036 / 0.012 / 0.022 / -0.034 / 0.031
Craftsman or related worker / -0.016 / 0.026 / 0.024 / 0.040 / -0.003 / 0.013 / -0.032 / 0.022
Operator / -0.017 / 0.030 / -0.048 / 0.045 / -0.003 / 0.014 / -0.053** / 0.022
Unskilled worker / -0.019 / 0.021 / -0.012 / 0.032 / -0.009 / 0.014 / -0.073*** / 0.022
Private sector / 0.005 / 0.018 / -0.045 / 0.026 / -0.002 / 0.012 / -0.002 / 0.021
Flexible work schedule / -0.022 / 0.013 / -0.023 / 0.019 / -0.003 / 0.007 / 0.030** / 0.014
Weekly hours <40 / -0.005 / 0.015 / 0.038 / 0.021 / -0.013 / 0.008 / -0.036** / 0.015
Weekly hours >40 / 0.031** / 0.016 / 0.084*** / 0.021 / -0.000 / 0.007 / 0.019 / 0.013
Adult care / 0.010 / 0.029 / 0.016 / 0.039 / 0.004 / 0.020 / 0.082** / 0.039
Income <500 / 0.200 / 0.106 / 0.126 / 0.098 / 0.055 / 0.064 / 0.075 / 0.081
Income 500 - 999.99 / 0.045 / 0.050 / -0.023 / 0.060 / 0.003 / 0.023 / -0.009 / 0.042
Income 1,000 – 1,499.99 / 0.043 / 0.043 / 0.002 / 0.054 / 0.002 / 0.022 / -0.019 / 0.040
Income 1,500 – 1,999.99 / 0.036 / 0.041 / 0.018 / 0.053 / 0.003 / 0.021 / 0.001 / 0.040
Income 2,000 – 2,499.99 / 0.017 / 0.040 / -0.016 / 0.052 / 0.001 / 0.021 / -0.001 / 0.040
Income 2,500 – 2,999.99 / 0.061 / 0.046 / 0.002 / 0.054 / 0.007 / 0.023 / 0.011 / 0.042
Income 3,000 – 4,999.99 / 0.026 / 0.041 / 0.053 / 0.053 / 0.006 / 0.022 / 0.035 / 0.042
Andalucía / -0.058** / 0.026 / -0.028 / 0.047 / 0.054** / 0.026 / 0.033 / 0.037
Asturias / 0.027 / 0.045 / 0.148** / 0.061 / 0.042 / 0.036 / 0.057 / 0.051
Baleares / -0.070** / 0.028 / -0.055 / 0.059 / 0.060 / 0.042 / 0.039 / 0.051
Canarias / -0.022 / 0.035 / -0.050 / 0.054 / 0.069 / 0.038 / 0.012 / 0.043
Cantabriaa / -0.132*** / 0.010 / -0.369*** / 0.022 / -0.203*** / 0.015
Castilla y León / -0.046 / 0.031 / -0.024 / 0.056 / 0.007 / 0.025 / 0.017 / 0.042
Castilla-La Mancha / -0.062** / 0.029 / -0.029 / 0.059 / 0.039 / 0.035 / 0.002 / 0.043
Cataluña / -0.034 / 0.029 / -0.008 / 0.047 / 0.030 / 0.023 / 0.023 / 0.036
Comunidad Valenciana / -0.036 / 0.030 / 0.022 / 0.054 / 0.060 / 0.032 / 0.047 / 0.042
Extremadura / 0.046 / 0.054 / 0.090 / 0.070 / 0.096 / 0.050 / 0.112 / 0.059
Galicia / 0.013 / 0.036 / 0.082 / 0.052 / 0.069** / 0.033 / 0.082 / 0.043
Comunidad de Madrid / 0.017 / 0.035 / 0.060 / 0.050 / 0.110*** / 0.036 / 0.129*** / 0.044
Región de Murcia / 0.012 / 0.044 / 0.082 / 0.063 / 0.072 / 0.040 / 0.003 / 0.044
Navarra / -0.025 / 0.034 / 0.025 / 0.056 / 0.089** / 0.037 / 0.062 / 0.044
País Vasco / 0.000 / 0.044 / 0.114 / 0.065 / 0.061 / 0.039 / 0.116** / 0.052
La Rioja / -0.030 / 0.037 / 0.101 / 0.066 / 0.097** / 0.047 / 0.057 / 0.051
Ceuta y Melilla / -0.005 / 0.048 / 0.022 / 0.072 / 0.074 / 0.049 / -0.042 / 0.048
Log-likelihood / -1,499 / -2,482 / -1,317 / -3,184
R-squared / 0.070 / 0.084 / 0.075 / 0.078
Observations / 4,041 / 4,041 / 6,476 / 6,476
Notes: The tableshows results for the complete sample of full-time employees. All estimations include an intercept. Standard errors clustered at the household level arecalculated with the delta method. R-squared equals one minus the ratio of the log likelihood of the fitted function to the log likelihood of a function with only an intercept. Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, weekly hours=40, household income>=5,000, Aragón. a: All men in Cantabria have ROM1=0. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.2—PROBIT EQUATIONS FOR SUFFERING FROM ROLE OVERLOAD(MARGINAL EFFECTS). HOME OWNERS OBSERVED ON WORKING DAYS
Women / Men
(1) / (2) / (3) / (4)
ROM1 / ROM2 / ROM1 / ROM2
Independent variables / M.E. / S.E. / M.E. / S.E. / M.E. / S.E. / M.E. / S.E.
Split shifts / -0.014 / 0.019 / 0.073*** / 0.027 / -0.019 / 0.010 / -0.026 / 0.018
Commute duration (10min.) / 0.013*** / 0.005 / 0.014 / 0.008 / 0.004 / 0.002 / 0.009** / 0.005
No. of commuting episodes / -0.002 / 0.009 / -0.007 / 0.013 / 0.008 / 0.004 / 0.012 / 0.008
Age 31 - 35 / 0.033 / 0.030 / 0.061 / 0.039 / -0.001 / 0.015 / -0.024 / 0.026
Age 36 - 40 / 0.068** / 0.031 / 0.094** / 0.039 / 0.011 / 0.016 / -0.014 / 0.027
Age 41 - 45 / 0.052 / 0.031 / 0.074 / 0.038 / 0.024 / 0.018 / -0.042 / 0.028
Age 46 - 50 / 0.079** / 0.036 / 0.048 / 0.041 / -0.004 / 0.016 / -0.080*** / 0.026
Age >=51 / 0.038 / 0.032 / -0.017 / 0.039 / -0.021 / 0.012 / -0.085*** / 0.025
Spouse/partner present / 0.061*** / 0.020 / 0.150*** / 0.030 / 0.026** / 0.011 / 0.074*** / 0.024
Presence of children [0-5] / 0.018 / 0.024 / 0.065 / 0.036 / 0.010 / 0.012 / 0.061*** / 0.023
Presence of children [6-17] / 0.024 / 0.020 / 0.042 / 0.029 / -0.019** / 0.009 / 0.012 / 0.019
Household with 2 adults / -0.024 / 0.037 / -0.027 / 0.052 / -0.028 / 0.024 / -0.110*** / 0.043
Household with 3 adults / -0.024 / 0.035 / -0.031 / 0.052 / -0.028 / 0.019 / -0.133*** / 0.037
Household with 4+ adults / -0.045 / 0.035 / -0.026 / 0.055 / -0.034 / 0.019 / -0.149*** / 0.038
Disabled / 0.114*** / 0.031 / 0.155*** / 0.037 / 0.051*** / 0.016 / 0.118*** / 0.026
High school graduate / 0.017 / 0.020 / 0.046 / 0.028 / 0.010 / 0.010 / 0.037** / 0.019
University degree / -0.028 / 0.025 / 0.038 / 0.037 / 0.014 / 0.016 / 0.046 / 0.030
Agriculture / -0.001 / 0.063 / -0.089 / 0.083 / -0.021 / 0.020 / -0.010 / 0.041
Construction / 0.064 / 0.067 / -0.037 / 0.079 / 0.012 / 0.014 / -0.021 / 0.024
Trade / 0.040 / 0.033 / -0.013 / 0.044 / 0.008 / 0.015 / -0.019 / 0.026
Hotel industry / -0.059 / 0.031 / -0.133** / 0.053 / 0.011 / 0.033 / 0.050 / 0.063
Transport / -0.012 / 0.041 / 0.024 / 0.065 / -0.008 / 0.015 / -0.013 / 0.032
Financial intermediation / -0.031 / 0.038 / 0.110 / 0.069 / 0.013 / 0.022 / -0.035 / 0.035
Real state / -0.034 / 0.029 / -0.033 / 0.046 / 0.006 / 0.018 / -0.016 / 0.033
Public administration / -0.005 / 0.037 / -0.103** / 0.052 / -0.014 / 0.017 / -0.006 / 0.040
Educational services / -0.033 / 0.035 / -0.151*** / 0.049 / -0.019 / 0.019 / 0.017 / 0.052
Health services / -0.007 / 0.033 / -0.112** / 0.047 / -0.012 / 0.020 / 0.015 / 0.048
Other services / -0.016 / 0.034 / -0.111** / 0.048 / 0.029 / 0.028 / -0.014 / 0.044
Manager / 0.103 / 0.083 / 0.267*** / 0.090 / 0.024 / 0.031 / 0.025 / 0.051
Technician/professional / 0.011 / 0.033 / 0.102** / 0.046 / 0.051 / 0.029 / -0.012 / 0.037
Supporting technician/prof. / -0.020 / 0.023 / 0.054 / 0.036 / 0.027 / 0.021 / 0.001 / 0.031
Service worker / -0.012 / 0.031 / 0.068 / 0.048 / -0.005 / 0.021 / -0.097*** / 0.032
Sales worker / -0.046 / 0.027 / -0.022 / 0.048 / -0.002 / 0.024 / -0.021 / 0.043
Craftsman or related worker / -0.032 / 0.031 / 0.006 / 0.056 / -0.008 / 0.017 / -0.078*** / 0.029
Operator / -0.067** / 0.031 / -0.066 / 0.061 / 0.002 / 0.019 / -0.074*** / 0.029
Unskilled worker / -0.064*** / 0.023 / -0.023 / 0.045 / -0.029** / 0.013 / -0.138*** / 0.025
Private sector / 0.024 / 0.024 / -0.048 / 0.037 / 0.001 / 0.015 / -0.003 / 0.029
Flexible work schedule / -0.010 / 0.018 / -0.000 / 0.026 / -0.011 / 0.009 / 0.009 / 0.019
Weekly hours <40 / -0.012 / 0.022 / 0.047 / 0.032 / -0.021** / 0.010 / -0.038 / 0.023
Weekly hours >40 / 0.016 / 0.022 / 0.076** / 0.030 / -0.008 / 0.010 / -0.000 / 0.020
Adult care / 0.044 / 0.043 / 0.019 / 0.055 / -0.016 / 0.025 / 0.101 / 0.063
Income <500 / 0.359*** / 0.136 / 0.268** / 0.116 / 0.029 / 0.080 / 0.107 / 0.125
Income 500 - 999.99 / -0.013 / 0.051 / 0.049 / 0.079 / -0.015 / 0.022 / -0.011 / 0.057
Income 1,000 – 1,499.99 / 0.012 / 0.047 / 0.041 / 0.069 / -0.011 / 0.022 / -0.036 / 0.052
Income 1,500 – 1,999.99 / 0.019 / 0.046 / 0.072 / 0.066 / -0.018 / 0.020 / -0.005 / 0.053
Income 2,000 – 2,499.99 / -0.011 / 0.042 / -0.006 / 0.065 / -0.022 / 0.019 / 0.002 / 0.054
Income 2,500 – 2,999.99 / 0.060 / 0.054 / 0.052 / 0.067 / -0.010 / 0.021 / -0.000 / 0.055
Income 3,000 – 4,999.99 / 0.013 / 0.046 / 0.065 / 0.067 / -0.016 / 0.019 / 0.036 / 0.057
Andalucía / -0.113*** / 0.024 / -0.072 / 0.062 / 0.020 / 0.026 / 0.025 / 0.051
Asturias / 0.014 / 0.054 / 0.152 / 0.082 / 0.040 / 0.044 / 0.057 / 0.070
Baleares / -0.108*** / 0.021 / -0.077 / 0.080 / 0.056 / 0.054 / 0.089 / 0.079
Canarias / -0.095*** / 0.024 / -0.132 / 0.069 / 0.046 / 0.042 / 0.035 / 0.063
Cantabriaa / -0.134*** / 0.011 / -0.379*** / 0.026 / -0.207*** / 0.022
Castilla y León / -0.065** / 0.033 / -0.022 / 0.078 / -0.002 / 0.028 / 0.025 / 0.061
Castilla-La Mancha / -0.091*** / 0.026 / -0.101 / 0.073 / 0.007 / 0.034 / -0.003 / 0.059
Cataluña / -0.099*** / 0.027 / -0.069 / 0.061 / -0.006 / 0.020 / 0.031 / 0.051
Comunidad Valenciana / -0.086*** / 0.026 / -0.054 / 0.069 / 0.057 / 0.039 / 0.053 / 0.058
Extremadura / -0.054 / 0.042 / 0.005 / 0.092 / 0.109 / 0.064 / 0.113 / 0.082
Galicia / -0.062** / 0.031 / -0.001 / 0.070 / 0.071 / 0.042 / 0.126** / 0.063
Comunidad de Madrid / -0.081*** / 0.027 / -0.034 / 0.066 / 0.077 / 0.040 / 0.135** / 0.063
Región de Murcia / -0.055 / 0.038 / 0.021 / 0.085 / 0.066 / 0.047 / 0.046 / 0.066
Navarra / -0.080*** / 0.028 / -0.001 / 0.075 / 0.085 / 0.046 / 0.090 / 0.065
País Vasco / -0.061 / 0.037 / 0.033 / 0.084 / 0.008 / 0.033 / 0.090 / 0.068
La Rioja / -0.054 / 0.038 / 0.075 / 0.086 / 0.024 / 0.043 / 0.056 / 0.073
Ceuta y Melilla / -0.021 / 0.057 / -0.020 / 0.102 / 0.029 / 0.052 / -0.031 / 0.075
Log-likelihood / -726 / -1,246 / -594 / -1,588
R-squared / 0.106 / 0.107 / 0.109 / 0.091
Observations / 2,076 / 2,076 / 3,229 / 3,229
Notes: The table shows results for the subsample of home owners whose diary day was a regular working day. All estimations include an intercept. Standard errors clustered at the household level are calculated with the delta method. R-squared equals one minus the ratio of the log likelihood of the fitted function to the log likelihood of a function with only an intercept. Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, weekly hours=40, household income>=5,000, Aragón. a: All men in Cantabria have ROM1=0. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.3—MINUTES SPENT ON THE JOB ON WORKING DAYS. OLS ESTIMATES
Women / Men
(1) / (2)
Independent variables / Coefficient / S.E. / Coefficient / S.E.
Split shifts / 37*** / 4 / 38*** / 3
Age 31 – 35 / 9 / 6 / 6 / 5
Age 36 – 40 / 3 / 5 / 1 / 5
Age 41 – 45 / -2 / 6 / 9 / 5
Age 46 – 50 / -0 / 6 / 8 / 5
Age >=51 / -8 / 6 / 6 / 5
Spouse/partner present / -10** / 4 / 0 / 5
Presence of children [0-5] / -18*** / 6 / 7 / 4
Presence of children [6-17] / -6 / 4 / 2 / 4
Household with 2 adults / 0 / 7 / 9 / 8
Household with 3 adults / -2 / 7 / 12 / 8
Household with 4+ adults / -4 / 8 / 14 / 8
Disabled / 0 / 6 / -9** / 5
High school graduate / -3 / 5 / 2 / 3
University degree / -2 / 6 / 1 / 5
Agriculture / -16 / 15 / -9 / 7
Construction / -6 / 13 / 12*** / 4
Trade / -14 / 7 / -7 / 5
Hotel industry / 2 / 10 / 2 / 11
Transport / -9 / 9 / 3 / 7
Financial intermediation / -18 / 10 / -28*** / 7
Real state / -14** / 7 / -23*** / 7
Public administration / -30*** / 8 / -35*** / 7
Educational services / -53*** / 10 / -44*** / 10
Health services / -26*** / 8 / -27*** / 9
Other services / -32*** / 8 / -34*** / 9
Manager / 29** / 14 / 35*** / 11
Technician/professional / 3 / 7 / 1 / 7
Supporting technician/prof. / 7 / 5 / 5 / 6
Service worker / 2 / 7 / 10 / 8
Sales worker / 1 / 8 / 5 / 9
Craftsman or related worker / 18** / 8 / 19*** / 6
Operator / 26*** / 10 / 17*** / 6
Unskilled worker / -2 / 7 / 12 / 6
Private sector / 13** / 5 / 19*** / 6
Flexible work schedule / -13*** / 4 / 1 / 4
Adult care / -5 / 9 / -21 / 13
Winter / -1 / 4 / 2 / 4
Spring / -3 / 5 / 2 / 4
Autumn / -1 / 5 / 1 / 4
Tuesday / -8 / 5 / 0 / 4
Wednesday / -6 / 5 / 1 / 4
Thursday / 7 / 5 / -2 / 4
Friday / -10** / 5 / -11*** / 4
Saturday / -47*** / 9 / -93*** / 8
Sunday / -24 / 15 / -57*** / 17
Ln non-labor income / -1 / 3 / -1 / 2
Andalucía / 15 / 11 / 6 / 10
Asturias / 24 / 14 / 3 / 13
Baleares / 8 / 12 / -17 / 13
Canarias / 15 / 12 / -1 / 12
Cantabria / 24 / 14 / 17 / 13
Castilla y León / -4 / 12 / -0 / 12
Castilla-La Mancha / 23 / 12 / 4 / 12
Cataluña / 20 / 10 / 6 / 10
Comunidad Valenciana / 14 / 12 / 5 / 11
Extremadura / 5 / 14 / -24 / 14
Galicia / 26** / 11 / 8 / 11
Comunidad de Madrid / 25** / 11 / 7 / 11
Región de Murcia / 11 / 15 / 9 / 13
Navarra / 3 / 13 / -4 / 11
País Vasco / 5 / 14 / -6 / 12
La Rioja / 14 / 13 / 4 / 12
Ceuta y Melilla / -19 / 17 / -23 / 13
Intercept / 437*** / 15 / 435*** / 16
R-squared / 0.194 / 0.231
Observations / 2,451 / 3,958
Notes:The table shows results for the subsample of full-time employees whose diary day was a regular working day. Standard errors are clustered at the household level. Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, summer, Monday, Aragón. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.4—WEEKLY HOURS OF WORK (MEASURE 1). OLS ESTIMATES
Women / Men
(1) / (2)
Independent variables / Coefficient / S.E. / Coefficient / S.E.
Split shifts / 2.2*** / 0.2 / 2.6*** / 0.2
Age 31 – 35 / 0.2 / 0.3 / 0.1 / 0.3
Age 36 – 40 / -0.0 / 0.3 / -0.3 / 0.3
Age 41 – 45 / -0.2 / 0.3 / -0.6 / 0.3
Age 46 – 50 / -0.3 / 0.3 / -0.9** / 0.3
Age >=51 / -0.5 / 0.3 / -0.5 / 0.3
Spouse/partner present / -0.4 / 0.2 / 0.4 / 0.3
Presence of children [0-5] / -1.0*** / 0.3 / 0.2 / 0.3
Presence of children [6-17] / -0.4 / 0.2 / 0.5** / 0.2
Household with 2 adults / 0.6 / 0.4 / -0.0 / 0.5
Household with 3 adults / 0.5 / 0.4 / 0.2 / 0.5
Household with 4+ adults / 0.8 / 0.5 / 0.2 / 0.5
Disabled / -0.3 / 0.3 / -0.4 / 0.2
High school graduate / -0.8*** / 0.3 / -0.4 / 0.2
University degree / -0.8** / 0.3 / -0.5 / 0.3
Agriculture / 0.6 / 0.9 / 1.3** / 0.5
Construction / -0.4 / 0.7 / 1.2*** / 0.3
Trade / -0.1 / 0.4 / 1.1*** / 0.3
Hotel industry / 2.2*** / 0.6 / 2.4*** / 0.8
Transport / -0.5 / 0.5 / 1.2*** / 0.4
Financial intermediation / -1.5*** / 0.5 / -1.7*** / 0.4
Real state / -1.5*** / 0.4 / -1.1*** / 0.4
Public administration / -2.3*** / 0.4 / -2.4*** / 0.4
Educational services / -4.5*** / 0.4 / -3.8*** / 0.5
Health services / -1.9*** / 0.4 / -2.1*** / 0.5
Other services / -0.5 / 0.5 / -0.7 / 0.6
Manager / 2.1*** / 0.8 / 2.2*** / 0.6
Technician/professional / 0.4 / 0.3 / 1.3*** / 0.4
Supporting technician/prof. / 0.0 / 0.3 / 0.4 / 0.3
Service worker / 1.3*** / 0.4 / 2.3*** / 0.5
Sales worker / 2.0*** / 0.5 / 1.9*** / 0.6
Craftsman or related worker / 0.3 / 0.5 / 1.5*** / 0.3
Operator / 0.4 / 0.5 / 1.8*** / 0.4
Unskilled worker / 0.4 / 0.4 / 0.9** / 0.4
Private sector / 0.8*** / 0.3 / 1.8*** / 0.3
Flexible work schedule / 0.1 / 0.2 / 0.9*** / 0.2
Adult care / 0.1 / 0.5 / -0.8 / 0.5
Winter / 0.7*** / 0.2 / 0.5** / 0.2
Spring / 0.3 / 0.2 / 0.2 / 0.2
Autumn / -0.0 / 0.2 / -0.3 / 0.2
Ln non-labor income / -0.1 / 0.1 / -0.1 / 0.1
Andalucía / 0.2 / 0.6 / 0.4 / 0.6
Asturias / 1.0 / 0.7 / -1.1 / 0.7
Baleares / 0.1 / 0.7 / -0.2 / 0.8
Canarias / -0.0 / 0.6 / -0.5 / 0.7
Cantabria / 0.6 / 0.7 / -0.2 / 0.8
Castilla y León / -0.3 / 0.6 / -0.2 / 0.7
Castilla-La Mancha / 0.8 / 0.7 / 0.5 / 0.7
Cataluña / 0.7 / 0.6 / 0.1 / 0.6
Comunidad Valenciana / 0.9 / 0.6 / -0.0 / 0.6
Extremadura / 0.4 / 0.8 / -0.0 / 0.9
Galicia / 1.1 / 0.6 / 0.1 / 0.6
Comunidad de Madrid / 0.6 / 0.6 / -0.0 / 0.6
Región de Murcia / 1.7 / 0.9 / 1.3 / 0.7
Navarra / -0.0 / 0.6 / -0.3 / 0.7
País Vasco / -0.5 / 0.7 / -1.4** / 0.7
La Rioja / 0.9 / 0.7 / -1.1 / 0.7
Ceuta y Melilla / 0.0 / 0.7 / -0.6 / 0.9
Intercept / 38.4*** / 0.8 / 38.3*** / 0.9
R-squared / 0.220 / 0.185
Observations / 4,041 / 6,476
Notes:The table shows results for the complete sample of full-time employees.Standard errors are clustered at the household level. Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, summer, Aragón.**: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.5—WEEKLY HOURS OF WORK (MEASURE 2). OLS ESTIMATES
Women / Men
(1) / (2)
Independent variables / Coefficient / S.E. / Coefficient / S.E.
Split shifts / 0.9*** / 0.1 / 0.8*** / 0.1
Age 31 - 35 / -0.0 / 0.2 / -0.2 / 0.2
Age 36 - 40 / 0.1 / 0.2 / -0.1 / 0.2
Age 41 - 45 / 0.1 / 0.2 / -0.1 / 0.2
Age 46 - 50 / 0.1 / 0.2 / -0.3 / 0.2
Age >=51 / -0.5*** / 0.2 / -0.1 / 0.2
Spouse/partner present / -0.1 / 0.2 / 0.0 / 0.2
Presence of children [0-5] / -0.4** / 0.2 / 0.2 / 0.1
Presence of children [6-17] / -0.3** / 0.1 / 0.0 / 0.1
Household with 2 adults / -0.2 / 0.3 / -0.2 / 0.3
Household with 3 adults / -0.1 / 0.3 / -0.0 / 0.3
Household with 4+ adults / -0.1 / 0.3 / -0.2 / 0.3
Disabled / -0.2 / 0.2 / 0.0 / 0.1
High school graduate / -0.3 / 0.2 / -0.2 / 0.1
University degree / -0.3 / 0.2 / -0.1 / 0.2
Agriculture / 1.6** / 0.7 / 0.6** / 0.3
Construction / -0.1 / 0.4 / 0.7*** / 0.1
Trade / -0.2 / 0.2 / 0.3 / 0.2
Hotel industry / 0.4 / 0.3 / 1.1** / 0.5
Transport / -0.6 / 0.3 / 0.3 / 0.2
Financial intermediation / -1.1*** / 0.3 / -1.1*** / 0.2
Real state / -1.0*** / 0.2 / -0.3 / 0.2
Public administration / -1.6*** / 0.3 / -1.2*** / 0.3
Educational services / -3.6*** / 0.3 / -2.8*** / 0.3
Health services / -1.6*** / 0.3 / -1.0*** / 0.3
Other services / -0.6** / 0.3 / -0.6 / 0.3
Manager / -0.1 / 0.4 / 0.7** / 0.4
Technician/professional / -0.2 / 0.2 / 0.0 / 0.2
Supporting technician/prof. / 0.1 / 0.2 / 0.1 / 0.2
Service worker / 0.7*** / 0.3 / 1.1*** / 0.3
Sales worker / -0.0 / 0.3 / 0.3 / 0.3
Craftsman or related worker / 0.1 / 0.3 / 0.4** / 0.2
Operator / 0.1 / 0.3 / 0.5** / 0.2
Unskilled worker / 0.0 / 0.3 / 0.2 / 0.2
Private sector / 0.7*** / 0.2 / 1.4*** / 0.2
Flexible work schedule / 0.0 / 0.1 / 0.7*** / 0.1
Adult care / -0.9*** / 0.3 / 0.3 / 0.3
Winter / 0.0 / 0.1 / 0.1 / 0.1
Spring / 0.0 / 0.1 / -0.0 / 0.1
Autumn / -0.3 / 0.2 / -0.0 / 0.1
Ln non-labor income / 0.0 / 0.1 / -0.1 / 0.1
Andalucía / 0.3 / 0.3 / 0.1 / 0.3
Asturias / 0.8** / 0.4 / 0.1 / 0.4
Baleares / 0.6 / 0.4 / -0.5 / 0.4
Canarias / 1.0*** / 0.3 / -0.1 / 0.4
Cantabria / 1.3*** / 0.4 / -0.7** / 0.3
Castilla y León / 0.2 / 0.4 / 0.1 / 0.3
Castilla-La Mancha / 0.1 / 0.4 / 0.1 / 0.4
Cataluña / 0.4 / 0.3 / -0.1 / 0.3
Comunidad Valenciana / 0.6 / 0.3 / -0.2 / 0.3
Extremadura / -0.2 / 0.4 / -0.3 / 0.4
Galicia / 0.7** / 0.3 / -0.1 / 0.3
Comunidad de Madrid / 0.6** / 0.3 / -0.3 / 0.3
Región de Murcia / 0.4 / 0.5 / 0.5 / 0.4
Navarra / 0.2 / 0.3 / -0.5 / 0.3
País Vasco / -0.7 / 0.4 / -1.1*** / 0.3
La Rioja / 0.4 / 0.4 / -1.0*** / 0.3
Ceuta y Melilla / 0.8 / 0.6 / -0.4 / 0.5
Intercept / 39.0*** / 0.5 / 38.7*** / 0.5
R-squared / 0.220 / 0.152
Observations / 3,934 / 6,359
Notes:The table shows results for the complete sample of full-time employees.Standard errors are clustered at the household level.Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, summer, Aragón.**: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.6—TIME USE ON WORKING DAYS (MINUTES). OLS ESTIMATES. WOMEN
(1) / (2) / (3) / (4) / (5)
Independent variables / Sleep / S.E. / Eating & drinking / S.E. / Housework / S.E. / Child care / S.E. / Leisure / S.E.
Split shifts / 12*** / 4 / 7*** / 2 / -12*** / 4 / -3 / 5 / -7 / 4
Age 31 - 35 / -15** / 6 / 1 / 3 / 19*** / 5 / 3 / 20 / -1 / 7
Age 36 - 40 / -12** / 5 / -1 / 2 / 29*** / 5 / -2 / 27 / -17*** / 6
Age 41 - 45 / -4 / 5 / -1 / 3 / 45*** / 6 / -22 / 25 / -17*** / 6
Age 46 - 50 / -18*** / 6 / 1 / 3 / 61*** / 7 / -25 / 18 / -14** / 7
Age >=51 / -16*** / 6 / -2 / 3 / 67*** / 6 / -14 / 18 / -15** / 7
Spouse/partner present / -8** / 4 / -1 / 2 / 52*** / 5 / -11 / 31 / -32*** / 5
Presence of children [0-5] / 5 / 5 / -6** / 2 / -13** / 5 / 50*** / 7 / -46*** / 5
Presence of children [6-17] / -10** / 4 / 1 / 2 / 12*** / 4 / -4 / 8 / -11** / 5
Household with 2 adults / 8 / 8 / 1 / 4 / -21*** / 8 / 17 / 16 / 7 / 10
Household with 3 adults / 13 / 8 / 4 / 4 / -27*** / 8 / 9 / 23 / 9 / 10
Household with 4+ adults / 12 / 8 / 5 / 4 / -22*** / 8 / 10 / 31 / 8 / 10
Disabled / -8 / 6 / -2 / 3 / 11 / 6 / 7 / 8 / -1 / 7
High school graduate / -8 / 4 / 1 / 2 / -3 / 4 / 15*** / 5 / 5 / 5
University degree / -5 / 6 / 3 / 3 / -14*** / 5 / 25** / 12 / 7 / 6
Agriculture / 22 / 13 / 5 / 5 / -15 / 14 / -19 / 14 / 16 / 15
Construction / -6 / 10 / -0 / 6 / 1 / 12 / -7 / 14 / -13 / 10
Trade / 10 / 8 / -4 / 3 / -1 / 7 / -9 / 9 / 3 / 8
Hotel industry / 15 / 10 / -2 / 4 / -18** / 9 / -5 / 12 / 21** / 11
Transport / 9 / 9 / -2 / 4 / -6 / 9 / 1 / 12 / 10 / 10
Financial intermediation / -6 / 9 / 0 / 5 / -11 / 10 / 3 / 15 / 17 / 10
Real state / -1 / 7 / -4 / 4 / -13 / 7 / -11 / 10 / 23*** / 8
Public administration / -6 / 8 / -1 / 4 / -11 / 9 / 9 / 12 / 22** / 10
Educational services / 6 / 9 / 0 / 4 / -17 / 9 / 2 / 12 / 14 / 10
Health services / -2 / 8 / -2 / 4 / -5 / 8 / -12 / 11 / 19** / 9
Other services / 17** / 8 / -2 / 4 / -16 / 8 / -17 / 12 / 19** / 9
Manager / -7 / 16 / 16 / 9 / -11 / 13 / -22 / 15 / 11 / 17
Technician/professional / 2 / 6 / 0 / 3 / -14** / 7 / 4 / 13 / 3 / 7
Supporting technician/prof. / -6 / 5 / 2 / 2 / -6 / 5 / -8 / 8 / 1 / 6
Service worker / 3 / 8 / 0 / 4 / 1 / 7 / -4 / 9 / 1 / 9
Sales worker / -3 / 8 / -0 / 3 / -5 / 7 / -0 / 9 / 9 / 8
Craftsman or related worker / -9 / 9 / -2 / 4 / 0 / 9 / -6 / 10 / 21** / 10
Operator / -5 / 10 / -4 / 4 / 15 / 10 / -1 / 11 / 2 / 11
Unskilled worker / -6 / 7 / 0 / 3 / 11 / 7 / 3 / 9 / -1 / 8
Private sector / 5 / 6 / 3 / 3 / -4 / 6 / 10 / 8 / 0 / 7
Flexible work schedule / -1 / 4 / -1 / 2 / 1 / 4 / 2 / 5 / 1 / 5
Adult care / -21** / 8 / -8 / 4 / 64*** / 11 / -9 / 9 / -39*** / 10
Winter / 11** / 4 / -5** / 2 / -5 / 5 / -0 / 7 / -10 / 5
Spring / 5 / 5 / -1 / 2 / -4 / 5 / -2 / 7 / -7 / 5
Autumn / 13*** / 5 / -1 / 2 / -2 / 5 / 6 / 7 / -17*** / 6
Tuesday / -6 / 5 / 2 / 2 / 12** / 5 / -9 / 7 / -4 / 5
Wednesday / -9 / 5 / -1 / 2 / 5 / 5 / -3 / 6 / 0 / 6
Thursday / -14*** / 5 / -0 / 2 / 1 / 5 / -7 / 6 / 8 / 6
Friday / -27*** / 5 / 6** / 3 / 6 / 5 / -4 / 7 / 12** / 6
Saturday / -38*** / 9 / 3 / 3 / -20*** / 7 / -19 / 10 / 71*** / 10
Sunday / 23 / 12 / 11 / 6 / -24** / 12 / -37*** / 13 / 12 / 12
Market work (10 min.) / -1*** / 0 / -0*** / 0 / -3*** / 0 / -1*** / 0 / -3*** / 0
Income <500 / 2 / 18 / -6 / 10 / 14 / 21 / 21 / 26 / -14 / 22
Income 500 - 999.99 / -15 / 11 / -13** / 6 / 18 / 12 / 6 / 19 / 16 / 12
Income 1000 - 1499.99 / -3 / 10 / -6 / 6 / 11 / 11 / 8 / 19 / 6 / 11
Income 1500 - 1999.99 / -2 / 9 / -11 / 6 / 19 / 10 / 11 / 20 / -3 / 10
Income 2000 - 2499.99 / -1 / 10 / -10 / 6 / 15 / 10 / 20 / 19 / -1 / 10
Income 2500 - 2999.99 / -14 / 10 / -10 / 6 / 9 / 11 / 5 / 18 / 16 / 11
Income 3000 - 4999.99 / -13 / 9 / -11 / 6 / 10 / 10 / 22 / 16 / 14 / 10
Andalucía / 11 / 10 / -5 / 5 / 7 / 10 / -37** / 19 / -6 / 12
Asturias / 7 / 13 / -8 / 6 / 17 / 13 / -33 / 20 / 1 / 16
Baleares / -17 / 12 / -1 / 6 / 6 / 13 / -28 / 18 / -0 / 14
Canarias / 17 / 11 / -15*** / 6 / 7 / 12 / -30 / 17 / -33** / 13
Cantabria / 33** / 13 / -6 / 7 / 5 / 13 / -32 / 19 / 6 / 14
Castilla y León / 14 / 11 / -10 / 6 / -0 / 11 / -24 / 20 / 10 / 14
Castilla-La Mancha / -3 / 12 / -5 / 6 / 11 / 12 / -30 / 19 / 4 / 14
Cataluña / 19 / 10 / 5 / 5 / 6 / 10 / -28 / 16 / -18 / 11
Comunidad Valenciana / -5 / 11 / -6 / 6 / 16 / 11 / -24 / 18 / -15 / 13
Extremadura / 7 / 14 / -5 / 7 / -2 / 14 / -26 / 24 / 24 / 16
Galicia / 11 / 11 / -7 / 5 / 15 / 11 / -35** / 17 / -1 / 13
Comunidad de Madrid / -1 / 10 / 0 / 5 / -2 / 10 / -22 / 17 / -17 / 12
Región de Murcia / 13 / 14 / -0 / 7 / 1 / 13 / -29 / 19 / -20 / 15
Navarra / 15 / 13 / -11 / 6 / 4 / 11 / -12 / 20 / 14 / 13
País Vasco / 14 / 13 / -11 / 7 / -7 / 12 / 20 / 26 / 8 / 16
La Rioja / 20 / 13 / -6 / 6 / 0 / 13 / -11 / 20 / 2 / 15
Ceuta y Melilla / 17 / 16 / 2 / 9 / -16 / 16 / -50 / 30 / 15 / 20
Inverse Mills ratio / -10 / 32
Intercept / 507*** / 21 / 112*** / 10 / 237*** / 21 / 110*** / 40 / 300*** / 24
R-squared / 0.113 / 0.068 / 0.404 / 0.399 / 0.246
Observations / 2,451 / 2,451 / 2,451 / 841 / 2,451
Notes:The table shows results for the subsample of female full-time employees whose diary day was a regular working day, except the estimation for child-care time, which is run on mothers only. Standard errors are clustered at the household level; in estimation (4) they are additionally robust to generated regressors. Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, summer, Monday, household income>=5,000, Aragón. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.7—TIME USE ON WORKING DAYS (MINUTES). OLS ESTIMATES. MEN
(1) / (2) / (3) / (4) / (5)
Independent variables / Sleep / S.E. / Eating & drinking / S.E. / Housework / S.E. / Child care / S.E. / Leisure / S.E.
Split shifts / 8*** / 3 / 5*** / 1 / -11*** / 2 / -10*** / 3 / -7 / 4
Age 31 - 35 / 12*** / 4 / 3 / 2 / 6** / 3 / 4 / 9 / -11** / 5
Age 36 - 40 / -1 / 5 / 1 / 2 / 5 / 3 / 9 / 13 / -8 / 6
Age 41 - 45 / 2 / 5 / 1 / 2 / 7** / 4 / -3 / 14 / -1 / 6
Age 46 - 50 / 12** / 5 / 4 / 2 / 14*** / 4 / -5 / 9 / -8 / 6
Age >=51 / 10** / 4 / 1 / 2 / 2 / 4 / -15 / 9 / 11** / 6
Spouse/partner present / 1 / 4 / 2 / 2 / 17*** / 3 / 8 / 38 / -28*** / 5
Presence of children [0-5] / -4 / 4 / -5*** / 2 / -5 / 3 / 21*** / 3 / -24*** / 4
Presence of children [6-17] / -1 / 3 / -0 / 1 / -4 / 3 / -16*** / 5 / 1 / 4
Household with 2 adults / 25*** / 9 / -8 / 5 / -33*** / 6 / 33** / 16 / 28*** / 10
Household with 3 adults / 29*** / 9 / -5 / 4 / -43*** / 6 / 25 / 16 / 29*** / 10
Household with 4+ adults / 35*** / 9 / -6 / 5 / -50*** / 6 / 26 / 18 / 36*** / 10
Disabled / -1 / 4 / -2 / 2 / 6 / 3 / -3 / 4 / -4 / 5
High school graduate / -5 / 3 / -3** / 1 / 7*** / 2 / 4 / 3 / 1 / 4
University degree / -11** / 5 / -5** / 2 / 6 / 4 / 10** / 5 / -5 / 6
Agriculture / 15** / 7 / 5 / 3 / -11*** / 4 / -8 / 5 / 0 / 8
Construction / -6 / 4 / 9*** / 2 / -8*** / 3 / -2 / 3 / -10** / 4
Trade / 1 / 4 / -2 / 2 / -7** / 3 / -2 / 4 / 14*** / 5
Hotel industry / 9 / 9 / -3 / 5 / -9 / 8 / -2 / 9 / 3 / 11
Transport / -1 / 5 / 4 / 3 / -8 / 4 / -1 / 5 / 3 / 7
Financial intermediation / -6 / 6 / 1 / 4 / -18*** / 5 / -6 / 7 / 20** / 9
Real state / 4 / 6 / 2 / 3 / 1 / 5 / -1 / 8 / 3 / 8
Public administration / 6 / 7 / 1 / 3 / 2 / 6 / -4 / 8 / 7 / 9
Educational services / 16 / 8 / 1 / 4 / -5 / 7 / -8 / 11 / -4 / 11
Health services / 17** / 9 / -3 / 4 / 2 / 8 / 5 / 12 / -12 / 11
Other services / 14 / 9 / 0 / 4 / -11 / 6 / -14 / 7 / 5 / 11
Manager / 7 / 8 / 5 / 4 / -14** / 7 / -16** / 8 / 2 / 10
Technician/professional / 2 / 7 / 2 / 3 / -13** / 6 / -3 / 8 / 8 / 9
Supporting technician/prof. / 0 / 6 / -2 / 3 / -5 / 5 / -4 / 7 / 8 / 7
Service worker / 2 / 8 / -3 / 4 / -1 / 7 / -12 / 8 / 7 / 10
Sales worker / 12 / 9 / 2 / 4 / 8 / 7 / -19** / 8 / -10 / 10
Craftsman or related worker / 12** / 6 / -3 / 3 / -6 / 5 / -14** / 7 / 6 / 7
Operator / 11 / 6 / -1 / 3 / -6 / 5 / -16** / 7 / 4 / 8
Unskilled worker / 7 / 6 / -1 / 3 / -0 / 5 / -12 / 7 / -4 / 8
Private sector / 3 / 5 / 1 / 2 / -1 / 4 / -9 / 6 / 4 / 6
Flexible work schedule / 6** / 3 / 3** / 2 / -3 / 2 / -1 / 3 / -3 / 4
Adult care / -26*** / 7 / -9 / 5 / 86*** / 15 / -30*** / 9 / -27*** / 10
Winter / 4 / 4 / -1 / 2 / -6** / 3 / 1 / 3 / -9** / 4
Spring / -2 / 3 / -2 / 2 / 1 / 3 / 1 / 3 / -1 / 4
Autumn / 2 / 4 / -3 / 2 / -1 / 3 / 7** / 4 / -7 / 5
Tuesday / -4 / 3 / -2 / 2 / -4 / 3 / -3 / 4 / -1 / 4
Wednesday / -2 / 4 / 1 / 2 / 2 / 3 / -3 / 4 / -5 / 5
Thursday / -6 / 4 / -2 / 2 / -2 / 3 / 3 / 4 / 4 / 5
Friday / -26*** / 4 / 4** / 2 / 2 / 3 / 1 / 4 / 15*** / 5
Saturday / -28*** / 8 / 4 / 3 / -2 / 5 / -5 / 6 / 46*** / 9
Sunday / 35*** / 12 / 6 / 6 / -19** / 8 / -4 / 12 / 9 / 14
Market work (10 min.) / -1*** / 0 / -0*** / 0 / -2*** / 0 / -1*** / 0 / -4*** / 0
Income <500 / 28 / 21 / -0 / 6 / -26** / 12 / -12 / 11 / -31 / 19
Income 500 - 999.99 / -3 / 9 / 2 / 5 / -25*** / 8 / 7 / 8 / -0 / 12
Income 1000 - 1499.99 / -1 / 8 / 2 / 4 / -22*** / 8 / 7 / 8 / -0 / 11
Income 1500 - 1999.99 / -5 / 8 / 2 / 4 / -11 / 8 / 8 / 8 / -7 / 11
Income 2000 - 2499.99 / -6 / 8 / 4 / 4 / -11 / 8 / 11 / 8 / -10 / 11
Income 2500 - 2999.99 / -5 / 8 / -1 / 4 / -4 / 8 / 12 / 10 / -12 / 11
Income 3000 - 4999.99 / -12 / 8 / 4 / 4 / -7 / 8 / 15** / 8 / -4 / 11
Andalucía / 12 / 10 / 1 / 4 / -6 / 7 / -4 / 10 / -6 / 11
Asturias / 16 / 12 / 7 / 5 / -8 / 9 / -12 / 11 / 5 / 14
Baleares / -8 / 11 / -10 / 5 / -11 / 8 / 11 / 11 / -1 / 13
Canarias / 20 / 11 / -15*** / 4 / -0 / 8 / -8 / 8 / -13 / 13
Cantabria / 32*** / 12 / -4 / 5 / -21*** / 8 / 2 / 11 / 24 / 14
Castilla y León / 13 / 11 / -5 / 4 / 1 / 8 / -4 / 9 / -4 / 12
Castilla-La Mancha / 3 / 12 / -1 / 4 / 11 / 9 / -6 / 9 / 2 / 14
Cataluña / 18 / 10 / 10*** / 4 / 7 / 7 / 5 / 8 / -21 / 11
Comunidad Valenciana / 8 / 11 / 4 / 4 / 1 / 7 / 8 / 10 / -16 / 12
Extremadura / 24 / 13 / -8 / 5 / 4 / 9 / -0 / 11 / 13 / 16
Galicia / 19 / 11 / 3 / 4 / 3 / 7 / -4 / 9 / -14 / 12
Comunidad de Madrid / 3 / 10 / 4 / 4 / 4 / 7 / -0 / 8 / -12 / 12
Región de Murcia / 10 / 11 / -1 / 5 / 2 / 8 / -4 / 9 / 0 / 12
Navarra / 23** / 12 / -0 / 4 / -0 / 8 / 9 / 10 / -2 / 13
País Vasco / 17 / 12 / -8 / 4 / -0 / 9 / 30** / 15 / 2 / 14
La Rioja / 17 / 13 / 2 / 5 / -5 / 8 / 3 / 11 / 15 / 15
Ceuta y Melilla / 11 / 13 / 6 / 5 / -26*** / 8 / -12 / 11 / 12 / 14
Inverse Mills ratio / 9 / 19
Intercept / 460*** / 20 / 104*** / 9 / 185*** / 16 / 33 / 54 / 386*** / 23
R-squared / 0.081 / 0.067 / 0.220 / 0.276 / 0.247
Observations / 3,958 / 3,958 / 3,958 / 1,602 / 3,958
Notes:The table shows results for the subsample of male full-time employees whose diary day was a regular working day, except the estimation for child-care time, which is run on fathers only.Standard errors are clustered at the household level; in estimation (4) they are additionally robust to generated regressors.Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, summer, Monday, household income>=5,000, Aragón.**: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.8—REDUCED-FORM PROBIT EQUATIONS FOR THE DECISION TO HAVE CHILDREN (MARGINAL EFFECTS)
Women / Men
(1) / (2)
Independent variables / M.E. / S.E. / M.E. / S.E.
Split shifts / -0.012 / 0.017 / -0.012 / 0.013
Age 31 - 35 / 0.182*** / 0.025 / 0.116*** / 0.020
Age 36 - 40 / 0.302*** / 0.025 / 0.247*** / 0.019
Age 41 - 45 / 0.268*** / 0.024 / 0.252*** / 0.020
Age 46 - 50 / 0.140*** / 0.026 / 0.112*** / 0.021
Age >=51 / -0.117*** / 0.032 / -0.093*** / 0.026
Spouse/partner present / 0.323*** / 0.022 / 0.511*** / 0.016
Household with 2 adults / -0.089*** / 0.031 / -0.004 / 0.060
Household with 3 adults / -0.188*** / 0.032 / -0.050 / 0.062
Household with 4+ adults / -0.273*** / 0.035 / -0.144** / 0.069
Disabled / -0.019 / 0.026 / 0.008 / 0.017
High school graduate / -0.016 / 0.019 / -0.008 / 0.014
University degree / -0.092*** / 0.025 / -0.008 / 0.023
Agriculture / 0.003 / 0.049 / -0.012 / 0.030
Construction / 0.049 / 0.065 / 0.007 / 0.017
Trade / -0.020 / 0.031 / -0.006 / 0.020
Hotel industry / -0.003 / 0.043 / -0.027 / 0.043
Transport / -0.031 / 0.048 / 0.010 / 0.026
Financial intermediation / 0.073 / 0.050 / 0.021 / 0.030
Real state / -0.013 / 0.034 / -0.046 / 0.032
Public administration / -0.018 / 0.039 / 0.031 / 0.031
Educational services / -0.005 / 0.042 / -0.018 / 0.040
Health services / -0.022 / 0.036 / -0.006 / 0.038
Other services / -0.047 / 0.037 / 0.012 / 0.037
Manager / 0.049 / 0.063 / -0.042 / 0.039
Technician/professional / 0.016 / 0.033 / 0.011 / 0.032
Supporting technician/prof. / -0.017 / 0.025 / 0.019 / 0.026
Service worker / 0.010 / 0.035 / 0.002 / 0.033
Sales worker / 0.025 / 0.036 / 0.010 / 0.039
Craftsman or related worker / 0.069 / 0.037 / 0.009 / 0.026
Operator / 0.018 / 0.048 / -0.012 / 0.028
Unskilled worker / 0.024 / 0.030 / 0.001 / 0.029
Private sector / -0.029 / 0.026 / 0.018 / 0.024
Flexible work schedule / 0.003 / 0.018 / -0.021 / 0.015
Adult care / -0.003 / 0.039 / -0.050 / 0.043
Winter / 0.039 / 0.021 / 0.001 / 0.016
Spring / 0.005 / 0.021 / -0.017 / 0.016
Autumn / -0.020 / 0.022 / -0.014 / 0.017
Tuesday / -0.013 / 0.024 / -0.031 / 0.019
Wednesday / 0.005 / 0.025 / -0.022 / 0.019
Thursday / 0.005 / 0.024 / -0.010 / 0.018
Friday / -0.007 / 0.023 / -0.007 / 0.017
Saturday / 0.012 / 0.035 / -0.001 / 0.026
Sunday / -0.064 / 0.045 / -0.090** / 0.044
Market work (10 min.) / -0.003*** / 0.001 / 0.001 / 0.001
Income <500 / -0.142 / 0.072 / -0.147 / 0.076
Income 500 - 999.99 / -0.122** / 0.052 / -0.082 / 0.051
Income 1000 - 1499.99 / -0.140*** / 0.047 / -0.109** / 0.046
Income 1500 - 1999.99 / -0.150*** / 0.043 / -0.132*** / 0.047
Income 2000 - 2499.99 / -0.139*** / 0.043 / -0.130*** / 0.048
Income 2500 - 2999.99 / -0.123*** / 0.046 / -0.152*** / 0.048
Income 3000 - 4999.99 / -0.093** / 0.047 / -0.114** / 0.048
Andalucía / 0.126*** / 0.044 / 0.134*** / 0.032
Asturias / 0.065 / 0.058 / -0.012 / 0.047
Baleares / 0.064 / 0.054 / 0.111** / 0.043
Canarias / -0.007 / 0.055 / -0.033 / 0.045
Cantabria / 0.084 / 0.058 / 0.084 / 0.047
Castilla y León / 0.047 / 0.056 / 0.045 / 0.041
Castilla-La Mancha / 0.021 / 0.057 / 0.022 / 0.041
Cataluña / 0.045 / 0.043 / 0.050 / 0.034
Comunidad Valenciana / 0.065 / 0.047 / 0.091*** / 0.035
Extremadura / 0.062 / 0.067 / 0.095** / 0.044
Galicia / 0.056 / 0.048 / 0.086** / 0.036
Comunidad de Madrid / 0.052 / 0.046 / 0.033 / 0.036
Región de Murcia / 0.095 / 0.058 / -0.017 / 0.045
Navarra / 0.008 / 0.051 / 0.047 / 0.039
País Vasco / -0.032 / 0.058 / 0.004 / 0.045
La Rioja / 0.033 / 0.060 / 0.053 / 0.047
Ceuta y Melilla / 0.135 / 0.076 / 0.099 / 0.054
Log-likelihood / -944.5 / -1,432
R-squared / 0.401 / 0.464
Observations / 2,451 / 3,958
Notes:The table shows results for the subsample of full-time employees whose diary day was a regular working day.The dummies for the presence of children aged 0-5 and 6-17 have been excluded as they predict the outcome perfectly. Standard errors clustered at the household level are calculated with the delta method. R-squared equals one minus the ratio of the log likelihood of the fitted function to the log likelihood of a function with only an intercept.Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, summer, Monday, household income>=5,000, Aragón.**: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.9—EATING AND DRINKING (ED) BETWEEN 1 PM AND 5 PM ON WORKING DAYS. SELECTED OLS ESTIMATES
Proportion having lunch (women) / (1) / (2) / (3)
Independent variables / Home / S.E. / Job / S.E. / Restaurant / S.E.
Split shifts / 0.104*** / 0.020 / -0.035** / 0.016 / 0.031*** / 0.010
R-squared / 0.180 / 0.078 / 0.048
Observations / 2,451 / 2,451 / 2,451
Minutes spent ED (women) / (4) / (5) / (6)
Independent variables / Home / S.E. / Job / S.E. / Restaurant / S.E.
Split shifts / 3*** / 1 / 11*** / 4 / -7 / 14
R-squared / 0.092 / 0.320 / 0.761
Observations / 1,867 / 253 / 100
Proportion having lunch (men) / (7) / (8) / (9)
Independent variables / Home / S.E. / Job / S.E. / Restaurant / S.E.
Split shifts / 0.023 / 0.016 / -0.015 / 0.012 / 0.021** / 0.009
R-squared / 0.154 / 0.100 / 0.033
Observations / 3,958 / 3,958 / 3,958
Minutes spent ED (men) / (10) / (11) / (12)
Independent variables / Home / S.E. / Job / S.E. / Restaurant / S.E.
Split shifts / 3*** / 1 / 3 / 2 / 4 / 5
R-squared / 0.068 / 0.262 / 0.328
Observations / 2,664 / 503 / 246
Notes:The table shows results for the subsample of full-time employees whose diary day was a regular working day. In all estimations, the set of controls includes an intercept, the amount of minutes spent on the job, plus dummies for age, presence of a spouse/partner, presence of children aged 0-5 and 6-17, presence of other adults beyond the spouse/partner, disability, education, sector of employment, industry, occupation, flexible work schedule, help to adult family members, season of the year, day of the week, household income, and region of residence. Standard errors are clustered at the household level. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.

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TABLE B.10—HOUSEWORK ON WORKING DAYS(MINUTES). SELECTED OLS ESTIMATES
Women / (1) / (2) / (3) / (4) / (5) / (6) / (7) / (8)
Independent variables / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E.
Split shifts / -1 / 2 / -2 / 2 / -2 / 1 / -0 / 1 / 0 / 0 / -5*** / 2 / -0 / 0 / -1 / 1
R-squared / 0.291 / 0.136 / 0.130 / 0.048 / 0.046 / 0.111 / 0.026 / 0.046
Observations / 2,451 / 2,451 / 2,451 / 2,451 / 2,451 / 2,451 / 2,451 / 2,451
Men / (9) / (10) / (11) / (12) / (13) / (14) / (15) / (16)
Independent variables / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E.
Split shifts / -1 / 1 / -1 / 1 / -0 / 0 / -2** / 1 / -2** / 1 / -4*** / 1 / -0 / 0 / 0 / 1
R-squared / 0.152 / 0.069 / 0.033 / 0.056 / 0.033 / 0.095 / 0.020 / 0.031
Observations / 3,958 / 3,958 / 3,958 / 3,958 / 3,958 / 3,958 / 3,958 / 3,958
Notes:The table shows results for the subsample of full-time employees whose diary day was a regular working day.Dependent variables are time spent on food management (estimations 1 and 9), household upkeep (2 and 10), making and care for textiles (3 and 11), gardening and pet care (4 and 12), construction and repairs (5 and 13), shopping for consumer goods and services (6 and 14), household management (7 and 15), and help to adult family members (8 and 16). In all estimations, the set of controls includes an intercept, the amount of minutes spent on the job, plus dummies for age, presence of a spouse/partner, presence of children aged 0-5 and 6-17, presence of other adults beyond the spouse/partner, disability, education, sector of employment, industry, occupation, flexible work schedule, season of the year, day of the week, household income, and region of residence.Additionally, estimations 1-7 and 9-15 include adummy for help to adult family members. Standard errors are clustered at the household level. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.

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TABLE B.11—SHOPPING TIME(MINUTES). SELECTED OLS ESTIMATES
Women / Men
(1) / (2)
Independent variables / Coefficient / S.E. / Coefficient / S.E.
Split shifts / -5*** / 2 / -4*** / 1
Split shifts*Day off / 6 / 4 / 1 / 2
Day off / -5 / 4 / 4 / 3
R-squared / 0.145 / 0.146
Observations / 4,041 / 6,476
Notes:The table shows results for the complete sample of full-time employees. In both estimations, the set of controls includes an intercept, the amount of minutes spent on the job, plus dummies for age, presence of a spouse/partner, presence of children aged 0-5 and 6-17, presence of other adults beyond the spouse/partner, disability, education, sector of employment, industry, occupation, flexible work schedule, help to adult family members, season of the year, day of the week, household income, and region of residence. Standard errors are clustered at the household level. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.12—CHILD CARE(MINUTES). SELECTED OLS ESTIMATES
Mothers / Fathers
(1) / (2)
Independent variables / Coefficient / S.E. / Coefficient / S.E.
Split shifts / -4 / 6 / -11*** / 3
Split shifts*Day off / -2 / 10 / 18*** / 5
Day off / -7 / 14 / -15 / 8
Inverse Mills ratio / -62** / 31 / 8 / 20
R-squared / 0.406 / 0.269
Observations / 1,497 / 2,658
Notes:The table shows results for the subsample of full-time employees with children. In both estimations, the set of controls includes an intercept, the amount of minutes spent on the job, plus dummies for age, presence of a spouse/partner, presence of children aged 0-5 and 6-17, presence of other adults beyond the spouse/partner, disability, education, sector of employment, industry, occupation, flexible work schedule,help to adult family members, season of the year, day of the week, household income, and region of residence.Standard errors are clustered at the household level and are also robust to generated regressors. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.13—LEISURE ACTIVITIES ON WORKING DAYS (MINUTES). SELECTED OLS ESTIMATES
Women / (1) / (2) / (3) / (4)
Independent variables / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E.
Split shifts / -3 / 4 / -2 / 2 / -1 / 1 / -0 / 3
R-squared / 0.136 / 0.076 / 0.047 / 0.103
Observations / 2,451 / 2,451 / 2,451 / 2,451
Men / (5) / (6) / (7) / (8)
Independent variables / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E.
Split shifts / -2 / 3 / -10*** / 2 / 0 / 1 / 5 / 3
R-squared / 0.135 / 0.086 / 0.054 / 0.091
Observations / 3,958 / 3,958 / 3,958 / 3,958
Notes:The table shows results for the subsample of full-time employees whose diary day was a regular working day.Dependent variables are time spent on social life and entertainment (estimations 1 and 5), sports and outdoor activities (2 and 6), hobbies and games (3 and 7), and mass media (4 and 8). In all estimations, the set of controls includes an intercept, the amount of minutes spent on the job, plus dummies for age, presence of a spouse/partner, presence of children aged 0-5 and 6-17, presence of other adults beyond the spouse/partner, disability, education, sector of employment, industry, occupation, flexible work schedule, help to adult family members, season of the year, day of the week, household income, and region of residence. Standard errors are clustered at the household level. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.14—SPORTS AND OUTDOOR ACTIVITIES (MINUTES).SELECTED OLS ESTIMATES
Women / Men
(1) / (2)
Independent variables / Coefficient / S.E. / Coefficient / S.E.
Split shifts / -3 / 2 / -7*** / 2
Split shifts*Day off / 9** / 4 / 7 / 5
Day off / -5 / 5 / -1 / 6
R-squared / 0.118 / 0.150
Observations / 4,041 / 6,476
Notes:The table shows results for the complete sample of full-time employees. In both estimations, the set of controls includes an intercept, the amount of minutes spent on the job, plus dummies for age, presence of a spouse/partner, presence of children aged 0-5 and 6-17, presence of other adults beyond the spouse/partner, disability, education, sector of employment, industry, occupation, flexible work schedule, help to adult family members, season of the year, day of the week, household income, and region of residence. Standard errors are clustered at the household level. **: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.
TABLE B.15—HOURLY EARNINGS. OLS ESTIMATES
Women / Men
(1) / (2) / (3) / (4)
Ln WM1 / Ln WM2 / Ln WM1 / Ln WM2
Independent variables / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E. / Coeff. / S.E.
Split shifts / -0.053*** / 0.011 / -0.026** / 0.011 / -0.074*** / 0.010 / -0.033*** / 0.009
Age 31 - 35 / 0.038** / 0.018 / 0.040** / 0.017 / 0.050*** / 0.015 / 0.055*** / 0.014
Age 36 - 40 / 0.081*** / 0.018 / 0.083*** / 0.017 / 0.115*** / 0.016 / 0.111*** / 0.015
Age 41 - 45 / 0.150*** / 0.019 / 0.144*** / 0.018 / 0.167*** / 0.017 / 0.155*** / 0.016
Age 46 - 50 / 0.177*** / 0.020 / 0.166*** / 0.020 / 0.225*** / 0.018 / 0.212*** / 0.017
Age >=51 / 0.187*** / 0.019 / 0.190*** / 0.018 / 0.201*** / 0.017 / 0.195*** / 0.016
Spouse/partner present / 0.072*** / 0.014 / 0.067*** / 0.013 / 0.105*** / 0.015 / 0.111*** / 0.014
Presence of children [0-5] / 0.044*** / 0.017 / 0.033** / 0.016 / 0.040*** / 0.013 / 0.037*** / 0.013
Presence of children [6-17] / 0.009 / 0.014 / 0.008 / 0.013 / 0.016 / 0.011 / 0.023** / 0.011
Household with 2 adults / -0.061** / 0.024 / -0.048** / 0.023 / -0.085*** / 0.026 / -0.076*** / 0.024
Household with 3 adults / -0.068*** / 0.024 / -0.057** / 0.023 / -0.093*** / 0.025 / -0.086*** / 0.023
Household with 4+ adults / -0.073*** / 0.024 / -0.054** / 0.024 / -0.092*** / 0.025 / -0.081*** / 0.023
Disabled / -0.012 / 0.017 / -0.013 / 0.016 / -0.011 / 0.014 / -0.021 / 0.013
High school graduate / 0.078*** / 0.013 / 0.067*** / 0.012 / 0.097*** / 0.011 / 0.092*** / 0.010
University degree / 0.167*** / 0.019 / 0.155*** / 0.019 / 0.232*** / 0.020 / 0.220*** / 0.019
Agriculture / -0.123*** / 0.044 / -0.151*** / 0.044 / -0.088*** / 0.023 / -0.075*** / 0.023
Construction / 0.025 / 0.040 / 0.024 / 0.039 / -0.035*** / 0.013 / -0.022 / 0.012
Trade / -0.074*** / 0.022 / -0.075*** / 0.021 / -0.073*** / 0.016 / -0.060*** / 0.015
Hotel industry / -0.137*** / 0.028 / -0.095*** / 0.027 / -0.159*** / 0.039 / -0.131*** / 0.038
Transport / -0.016 / 0.036 / -0.012 / 0.035 / -0.018 / 0.022 / 0.008 / 0.020
Financial intermediation / 0.181*** / 0.041 / 0.175*** / 0.040 / 0.199*** / 0.031 / 0.185*** / 0.030
Real state / -0.051** / 0.024 / -0.061*** / 0.023 / -0.061*** / 0.023 / -0.076*** / 0.023
Public administration / -0.041 / 0.029 / -0.063** / 0.029 / -0.015 / 0.024 / -0.044 / 0.023
Educational services / 0.026 / 0.029 / 0.004 / 0.028 / -0.024 / 0.029 / -0.044 / 0.028
Health services / -0.071*** / 0.026 / -0.082*** / 0.025 / -0.067** / 0.031 / -0.093*** / 0.031
Other services / -0.179*** / 0.027 / -0.186*** / 0.026 / -0.106*** / 0.031 / -0.096*** / 0.026
Manager / 0.471*** / 0.078 / 0.522*** / 0.077 / 0.556*** / 0.042 / 0.594*** / 0.040
Technician/professional / 0.321*** / 0.024 / 0.338*** / 0.023 / 0.276*** / 0.027 / 0.310*** / 0.025
Supporting technician/prof. / 0.123*** / 0.018 / 0.122*** / 0.017 / 0.129*** / 0.021 / 0.140*** / 0.020
Service worker / -0.098*** / 0.022 / -0.081*** / 0.021 / -0.008 / 0.028 / 0.026 / 0.028
Sales worker / -0.105*** / 0.021 / -0.045** / 0.019 / -0.119*** / 0.029 / -0.084*** / 0.027
Craftsman or related worker / -0.100*** / 0.027 / -0.087*** / 0.025 / -0.046** / 0.020 / -0.021 / 0.019
Operator / -0.045 / 0.028 / -0.038 / 0.026 / -0.026 / 0.021 / 0.007 / 0.020
Unskilled worker / -0.155*** / 0.020 / -0.140*** / 0.019 / -0.144*** / 0.021 / -0.128*** / 0.020
Private sector / -0.153*** / 0.019 / -0.151*** / 0.019 / -0.114*** / 0.018 / -0.097*** / 0.018
Flexible work schedule / 0.038*** / 0.014 / 0.044*** / 0.013 / 0.051*** / 0.012 / 0.057*** / 0.011
Adult care / 0.050 / 0.026 / 0.072*** / 0.024 / 0.021 / 0.029 / -0.003 / 0.028
Andalucía / 0.019 / 0.030 / 0.017 / 0.027 / -0.057** / 0.029 / -0.055** / 0.026
Asturias / -0.008 / 0.041 / -0.011 / 0.038 / 0.007 / 0.038 / -0.023 / 0.036
Baleares / 0.092** / 0.039 / 0.079** / 0.034 / -0.028 / 0.037 / -0.019 / 0.035
Canarias / 0.059 / 0.037 / 0.035 / 0.033 / -0.056 / 0.034 / -0.068** / 0.030
Cantabria / 0.084** / 0.040 / 0.060 / 0.037 / 0.041 / 0.037 / 0.040 / 0.034
Castilla y León / -0.014 / 0.035 / -0.030 / 0.032 / -0.070** / 0.033 / -0.084*** / 0.030
Castilla-La Mancha / 0.043 / 0.037 / 0.057 / 0.033 / -0.047 / 0.033 / -0.044 / 0.030
Cataluña / -0.006 / 0.030 / 0.001 / 0.027 / -0.014 / 0.029 / -0.017 / 0.026
Comunidad Valenciana / -0.011 / 0.033 / -0.002 / 0.030 / -0.062** / 0.031 / -0.063** / 0.028
Extremadura / -0.035 / 0.045 / -0.029 / 0.043 / -0.139*** / 0.041 / -0.140*** / 0.037
Galicia / -0.058 / 0.033 / -0.052 / 0.030 / -0.147*** / 0.031 / -0.145*** / 0.028
Comunidad de Madrid / 0.074** / 0.032 / 0.069** / 0.029 / 0.012 / 0.032 / 0.014 / 0.029
Región de Murcia / -0.095** / 0.041 / -0.060 / 0.038 / -0.134*** / 0.037 / -0.118*** / 0.034
Navarra / 0.109*** / 0.035 / 0.104*** / 0.032 / 0.079** / 0.033 / 0.081*** / 0.030
País Vasco / 0.118*** / 0.039 / 0.116*** / 0.038 / 0.085** / 0.035 / 0.074** / 0.033
La Rioja / -0.026 / 0.043 / -0.008 / 0.041 / 0.015 / 0.037 / 0.007 / 0.034
Ceuta y Melilla / 0.222*** / 0.057 / 0.199*** / 0.055 / 0.057 / 0.046 / 0.046 / 0.043
Intercept / 1.639*** / 0.045 / 1.636*** / 0.043 / 1.749*** / 0.044 / 1.735*** / 0.042
R-squared / 0.522 / 0.518 / 0.462 / 0.465
Observations / 4,041 / 3,934 / 6,476 / 6,359
Notes: The table shows results for the complete sample of full-time employees. Standard errors are clustered at the household level. Unreported categories: Age<=30, 1-adult household, less than high school graduate, manufacturing industry, clerical worker, Aragón.**: Significant at the 5 percent level. ***: Significant at the 1 percent level.
Source: Spanish Time Use Survey, 2002-2003, INE.

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