Descriptive Statistics and Regressions of 2D:4D and Educational Attainment Based on RLMS Data
Nye, J. V. C.; Bryukhanov, M.; & Polyachenko, S. (2017). Descriptive Statistics and Regressions of 2D:4D and Educational Attainment Based on RLMS Data. Data Brief, 12, 552-583. PMCID: PMC5429239
Nye, J. V. C.; Bryukhanov, M.; & Polyachenko, S. (2017). Descriptive Statistics and Regressions of 2D:4D and Educational Attainment Based on RLMS Data. Data Brief, 12, 552-583. PMCID: PMC5429239
![Octet Stream icon](https://www.nutrans.org/rlms-hse/application.png)
We document the descriptive statistics and detailed regression outputs for educational attainment and measured 2D:4D ratios, based on the RLMS data (20th round, conducted in 2011-2012). Regression analysis is conducted using STATA 13, gologit2 which is a special code for the generalized ordered logit regression in STATA environment. We provide graphs of differences in means of 2D:4D ratios by educational attainment. Information about the distribution of self-identified nationalities and fields of university degrees of respondents is presented.
JOUR
Nye, J. V. C.
Bryukhanov, M.
Polyachenko, S.
2017
Data Brief
12
552-583
2017/05/23
2352-3409
10.1016/j.dib.2017.04.009
PMC5429239
2866