Metrics
580 Downloads
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

There was an error with your search parameters. Please clear your search and try again.

1 to 5 of 5 Results
Apr 9, 2024 - IZA - Institute of Labor Economics
Kuhn, Peter; Shen, Kailing; Zhang, Shuo, 2024, "Gender-Targeted Job Ads in the Recruitment Process: Evidence from China", https://doi.org/10.15185/izadp.12022.1, Research Data Center of IZA (IDSC), V1
To measure how gendered job ads interact with workers’ application decisions and employers’ callback behavior, this data entails applicant and callback pools to job ads on internal records of a Chinese job board (XMRC.com), an Internet job board serving the city of Xiamen, over a...
Mar 27, 2024 - IZA - Institute of Labor Economics
Baker, George; Gibbs, Michael; Holmström, Bengt, 2024, "The Internal Economics of the Firm: Evidence From Personnel Data", https://doi.org/10.15185/bgh.1, Research Data Center of IZA (IDSC), V1
The dataset contains confidential computerized personnel records for all management employees of a medium-sized U. S. firm in a service industry over the years 1969-1988. The principal investigators use these data to peer inside the "black box" of the firm to explore the existenc...
Jan 23, 2024 - IZA - Institute of Labor Economics
Kuhn, Peter J.; Shen, Kailing, 2023, "What Happens When Employers Can No Longer Discriminate in Job Ads?", https://doi.org/10.15185/izadp.14618.1, Research Data Center of IZA (IDSC), V2
When employers’ explicit gender requests were unexpectedly removed from a Chinese job board overnight, pools of successful applicants became more integrated: women’s (men’s) share of call-backs to jobs that had requested men (women) rose by 62 (146) percent. The removal ‘worked’...
Nov 6, 2023 - IZA - Institute of Labor Economics
Kuhn, Peter J.; Shen, Kailing; Helleseter, Miguel Delgado, 2023, "The Age Twist in Employers' Gender Requests: Evidence from Four Job Boards", https://doi.org/10.15185/izadp.9891.1, Research Data Center of IZA (IDSC), V1
When permitted by law, employers sometimes state the preferred age and gender of their employees in job ads. The researchers study the interaction of advertised requests for age and gender on one Mexican and three Chinese job boards, showing that firms’ explicit gender requests s...
Nov 3, 2023 - IZA - Institute of Labor Economics
Askitas, Nikos, 2023, "Opinion Copulas, Homophily and Multimodal Marginals", https://doi.org/10.15185/izadp.10753.1, Research Data Center of IZA (IDSC), V1
An empirically founded and widely established driving force in opinion dynamics is homophily i.e. the tendency of "birds of a feather" to "flock together". The closer our opinions are the more likely it is that we will interact and converge. Models using these assumptions are cal...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.