nberwp (version 1.2.0)

authors: NBER working paper authors

Description

Data frame containing author attributes.

Usage

data(authors)

Format

Data frame with columns

author

Author ID.

name

Author name.

user_nber

Author username on NBER website.

user_repec

Author username on RePEc.

female

Binary indicator for whether author is female. Values of -1 denote genders that could not be identified.

female_source

Source of gender information. Values of 1 and 2 denote genders identified using SSA baby name and Facebook data, respectively. Negative values -x denote genders identified incorrectly by source x and overwritten manually. Values of 0 denote genders identified manually.

Details

Most author genders come from matching authors' names against 1940--1995 US Social Security Administration baby name data provided by the package babynames, and against Facebook name and self-reported gender data collected by Tang et al. (2011). Remaining genders come from manual identification, which involves searching for gendered pronouns in online biographies, news articles, and professional and social media profiles. It also involves using online photos and video (e.g., interview and lecture) footage. See Davies (2022) for more details.

References

Davies, B. (2022). Sex-based sorting among economists: Evidence from the NBER. SocArXiv. 10.31235/osf.io/zeb7a

Tang, C., Ross, K., Saxena, N., and Chen, R. (2011). What<U+2019>s in a Name: A Study of Names, Gender Inference, and Gender Behavior in Facebook. In Xu, J., Yu, G., Zhou, S., and Unland, R., editors, Database Systems for Advanced Applications, volume 6637. Springer, Berlin, Heidelberg.

Examples

# NOT RUN {
authors

if (require('dplyr')) {
paper_authors %>% count(author) %>% left_join(authors)
}

# }