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

Citation:

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

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Abstract:

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.

URL:

http://dx.doi.org/10.1016/j.dib.2017.04.009

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Reference Type:
JOUR

Secondary Title:

Series Title:

Author(s):
Nye, J. V. C.
Bryukhanov, M.
Polyachenko, S.

Editor(s):

Series Author(s):

Year Published:
2017

Date Published:

Journal Name:
Data Brief

Volume Number:
12

Issue Number:

Start Page Number:
552-583

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Edition:
2017/05/23

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City of Publication:

ISSN/ISBN:
2352-3409

DOI:
10.1016/j.dib.2017.04.009

PMCID:
PMC5429239

NIHMSID:

Reference ID:
2866

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Descriptive Statistics and Regressions of 2D:4D and Educational Attainment Based on RLMS Data