Gender Inequality and Economic Development Fertility Education and Norms

Recommendations

Info

Figure 6: Gender Inequality in Earnings: The Role of Children A: All 16-40 Year Olds Gender Gap (%) 0 10 20 30 40 50 60 70 80 5000 15000 25000 35000 45000 GDP Per Capita B: 16-40 Year Olds Without Children C: 16-40 Year Olds With Children Gender Gap (%) 0 10 20 30 40 50 60 70 80 Gender Gap (%) 0 10 20 30 40 50 60 70 80 5000 15000 25000 35000 45000 GDP Per Capita 5000 15000 25000 35000 45000 GDP Per Capita Notes: The figure decomposes the overall gender gap in earnings for individuals with and without children. Note that we do not observe the presence of children older than 18 or children who have left home, implying that older workers may be recorded as childless even though they are in fact parents. For this reason, we focus on the age range 16-40 in which this measurement problem is minimal. Panel A reproduces Figure 1 panel A for the sample of 16-40 year olds. Panel B (resp. panel C) follows the same methodology, restricting the sample to the16-40 year olds without children (resp. with children). 27
Figure 7: Demographic Transition and Gender Inequality in Earnings Actual Gender Gap vs Hypothetical Gender Gap Under Constant Fraction With Children Gender Gap (%) 0 10 20 30 40 50 60 70 80 5000 15000 25000 35000 45000 GDP Per Capita Actual Gender Gap Hypothetical Gender Gap (constant fraction with children) Notes: The figure compares the actual gender gap in earnings to the predicted gender gap assuming the fraction of individuals with children had remained constant throughout the development path. The black curve reproduces the actual gender gap in earnings for the 16-40 year olds from panl A of Figure 6. The red curve is the hypothetical gender gap assuming that the fraction ! of 16-40 year olds with children across all GDP per capita levels had remained constant at its average level in our 248 country-years. The red curve is therefore a weighted average of the two curves in panel B and C of Figure 6, with weights equal 1 ! and ! respectively. 28
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 and 26: Figure 3: Gender Inequality in Hour
Page 27: Figure 5: Demographic Transition A:
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

Create successful ePaper yourself

Delete template?

Save as template?