Gender Inequality and Economic Development Fertility Education and Norms

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Figure 4: Decomposing Earnings Inequality Across Levels of Development Participation, Hours, and Wage Rates Gender Gap (%) 0 20 40 60 80 Wage Rates Hours Participation 5000 15000 25000 35000 45000 GDP Per Capita Notes: The figure decomposes the gender gap in total earnings shown in Figure 1 panel A into the respective contributions of gender gaps in participation, conditional hours, and wage rates, following the exact decomposition of equation 3. The decomposition is performed on each country-year subsample. Each component of the decomposition is then regressed on GDP bin dummies and country fixed effects, and we report the coefficients for each GDP bin dummy, following the methodology described in section 2.2. See text for details. 25
Figure 5: Demographic Transition A: Fraction With Children 16-40 Year Olds Fraction With Kids (%) 20 30 40 50 60 70 80 0 5000 15000 25000 35000 45000 GDP Per Capita B: #Children Per Woman Lifetime Fertility Rate Lifetime Fertility 0 1 2 3 4 5 6 7 0 5000 15000 25000 35000 45000 GDP Per Capita Notes: Panel A displays the relationship between the probability to have at least one child among the 16-40 year olds and PPP-adjusted real GDP per capita for our 248 country-years. Observations are divided in 20 bins of GDP per capita, with similar number of observations per bin. We report the average probability in each bin controlling for country fixed effects, along with the robust 95% confidence interval, following the methodology described in section 2.2. To capture fertility along the intensive margin, Panel B displays the relationship between PPP-adjusted real GDP per capita and lifetime fertility rates available from the World Bank, following a similar method. See text for details. 26
Page 1 and 2: Gender Inequality and Economic Deve
Page 3 and 4: our paper lies partly in the data g
Page 5 and 6: 2 Data and Methods 2.1 Data To docu
Page 7 and 8: among men and women, respectively,
Page 9 and 10: graph also suggests a non-linear ef
Page 11 and 12: labor force participation over the
Page 13 and 14: stant over the development path, th
Page 15 and 16: average earnings by D Y = (Ȳ m Ȳ
Page 17 and 18: 4.3 Gender Norms So far we have foc
Page 19 and 20: A key contribution of our paper lie
Page 21 and 22: BLAU, FRANCINE, &KAHN, LAWRENCE. 20
Page 23 and 24: Figure 1: Gender Inequality in Earn
Page 25: Figure 3: Gender Inequality in Hour
Page 29 and 30: Figure 7: Demographic Transition an
Page 31 and 32: Figure 9: Gender Inequality in Coll
Page 33 and 34: Figure 11: Changing Views on the Ch
Page 35 and 36: Figure A.I: Gender Inequality in Co
Page 37 and 38: Table A.1: Panel B - Countries C-F
Page 39 and 40: Table A.1: Panel D - Countries I-N
Page 41 and 42: Table A.1: Panel F - Countries S-U

Gender Inequality and Economic Development Fertility Education and Norms

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