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Demographic convergence in marriage timing: Intersecting gender and educational expansion
Hanbo Wu (hanbo.wu@nyu.edu) and Luca Maria Pesando (lucamaria.pesando@nyu.edu)
Demographic Research
Software: Stata 18.5
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Access to raw data
Original data are publicly available through https://www.un.org/development/desa/pd/data/world-marriage-data and http://www.barrolee.com.
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Files in .zip archive
1_female_dta: Female data set
2_male_dta: Male data set
3_gender_difference_dta: Gender difference data set
4_replication_code.do: Stata dofile to replicate the results presented in this paper (Tables 1-3 and Figures 1-3)
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Variables in 1_female_dta
country: Country name
iso3n: Country code
region_geo: World region
region_geo_sub: World sub-region
year: Year
smam_f: SMAM, female
yrs_f: Years of schooling, female
pri_attained_f: % primary education attended, female
pri_completed_f: % primary education completed, female
sec_attained_f: % secondary education attended, female
sec_completed_f: % secondary education completed, female
ter_attained_f: % tertiary education attended, female
ter_completed_f: % tertiary education completed, female
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Variables in 2_male_dta
country: Country name
iso3n: Country code
region_geo: World region
region_geo_sub: World sub-region
year: Year
smam_m: SMAM, male
yrs_m: Years of schooling, male
pri_attained_m: % primary education attended, male
pri_completed_m: % primary education completed, male
sec_attained_m: % secondary education attended, male
sec_completed_m: % secondary education completed, male
ter_attained_m: % tertiary education attended, male
ter_completed_m: % tertiary education completed, male
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Variables in 3_gender_difference_dta
country: Country name
iso3n: Country code
region_geo: World region
region_geo_sub: World sub-region
year: Year
smam_d: SMAM, gender difference
yrs_d: Years of schooling, gender difference
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