Gender and Attribution of Credit in Hiring Team Workers: Evidence from a Representative US Sample (Public)
Project
Gender and Attribution of Credit in Hiring Team Workers: Evidence from a Representative US Sample
Study ID sspp-2020-0006-v1
Study Title Gender and Attribution of Credit in Hiring Team Workers: Evidence from a Representative US Sample
Authors Ingvild Almås, Serena Cocciolo, Jonathan de Quidt, Sebastian Fest, Anna Sandberg
Completion Time 15 Minutes
Close Date March 31, 2021
Discipline Economics
Field Experimental Economics
Country Online (limited countries), United States
Abstract
Previous research in economics has found gender disparities in credit for group work (Sarsons, 2017; Sarsons et al. 2020). We examine gender differences in credit for group work, and two policies that might address them, in an experiment on a large representative US sample. The sample is recruited through the Gallup panel, a probability-based panel that is representative of the United States adult population on age, gender, education, race, ethnicity, region, and population density. Participants choose a candidate to perform a task, based on a set of characteristics including examples of the candidates' past work. In some treatments, the past work was generated through individual work. In other treatments, the past work was generated working in a team. We will ask you to predict the choices of the experimental participants in a range of different experimental treatments.
Study ID sspp-2020-0006-v1
Study Title Gender and Attribution of Credit in Hiring Team Workers: Evidence from a Representative US Sample
Authors Ingvild Almås, Serena Cocciolo, Jonathan de Quidt, Sebastian Fest, Anna Sandberg
Completion Time 15 Minutes
Close Date March 31, 2021
Discipline Economics
Field Experimental Economics
Country Online (limited countries), United States
Abstract
Previous research in economics has found gender disparities in credit for group work (Sarsons, 2017; Sarsons et al. 2020). We examine gender differences in credit for group work, and two policies that might address them, in an experiment on a large representative US sample. The sample is recruited through the Gallup panel, a probability-based panel that is representative of the United States adult population on age, gender, education, race, ethnicity, region, and population density. Participants choose a candidate to perform a task, based on a set of characteristics including examples of the candidates' past work. In some treatments, the past work was generated through individual work. In other treatments, the past work was generated working in a team. We will ask you to predict the choices of the experimental participants in a range of different experimental treatments.
Log In to Receive Additional Forecasting Benefits
Save your progress and compare your forecasts to the actual results of the study upon release by logging in.Don't have an account? Sign up here.
Continue without logging in
You can choose to make an account upon completion.