Replication data for: Gendered Language on the Economics Job Market Rumors Forum

Principal Investigator(s):  View help for Principal Investigator(s) Alice H. Wu

Version:  View help for Version V1

Name File Type Size Last Modified
  lasso 10/13/2019 01:13:AM
LICENSE.txt text/plain 14.6 KB 10/12/2019 09:13:PM
README.pdf application/pdf 63.1 KB 10/12/2019 09:13:PM
X_word_count.npz application/zip 75.4 MB 10/12/2019 09:13:PM
gendered_posts.csv text/plain 145.3 MB 10/12/2019 09:13:PM
keys_to_X.csv text/plain 3.8 MB 10/12/2019 09:13:PM
tables-figures.R text/plain 2 KB 10/12/2019 09:13:PM
trend_stats.csv text/plain 1.2 KB 10/12/2019 09:13:PM
vocab10K.csv text/plain 636.4 KB 10/12/2019 09:13:PM

Project Description

Summary:  View help for Summary This paper examines the existence of an unwelcoming or stereotypical culture using evidence on how women and men are portrayed in anonymous discussions on the Economics Job Market Rumors forum (EJMR). I use a Lasso-Logistic model to measure gendered language in EJMR postings, identifying the words that are most strongly associated with discussions about one gender or the other. I find that the words most predictive of a post about a woman are typically about physical appearance or personal information, whereas those most predictive of a post about a man tend to focus on academic or professional characteristics.

Scope of Project

Subject Terms:  View help for Subject Terms [Text Analysis, Gender Bias, Machine Learning]
JEL Classification:  View help for JEL Classification
      A11 Role of Economics; Role of Economists; Market for Economists
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      J16 Economics of Gender; Non-labor Discrimination
      J44 Professional Labor Markets; Occupational Licensing
Universe:  View help for Universe Gender-related posts from the Economics Job Market Rumors forum
Data Type(s):  View help for Data Type(s) text

Methodology

Data Source:  View help for Data Source EJMR forum
Unit(s) of Observation:  View help for Unit(s) of Observation Post,

Related Publications

Download this project

Published Versions

V1 [2019-10-13]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.