Metrics
1,867 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 10 of 23 Results
Jun 3, 2025 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
Kapoor, Rolly; Gade, Smit, 2025, "G²LM|LIC - Together to Work? Role of Travel Buddies on Women’s Employment and Mobility", https://doi.org/10.15185/glmlic.773.1, Research Data Center of IZA (IDSC), V1
Introduction to the Dataset This dataset is derived from a clustered randomized controlled trial (RCT) conducted in urban neighborhoods across the Delhi NCR region in India. The experiment evaluated whether enabling women to coordinate travel with peers for job interviews would r...
Dec 6, 2024 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
Heath, Rachel M.; Boudreau, Laura; Das, Narayan, 2024, "G²LM|LIC - The Roles of Information and Search Frictions in Determining Working Conditions in Bangladesh’s Apparel Sector", https://doi.org/10.15185/glmlic.529.1, Research Data Center of IZA (IDSC), V1
The emergence of low-skill manufacturing sectors in developing countries can increase labor market opportunities and provide other economics benefits for women (Heath and Mobarak, 2015; Tanaka, 2017). But in light of the poor conditions that characterize many low-skill manufactur...
Nov 26, 2024 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
Ahmed, Hamna; Said, Farah; Mahmud, Mahreen; Saif Tirmazee, Zunia, 2024, "G²LM|LIC - Overcoming Constraints to Female Labor Force Entry", https://doi.org/10.15185/glmlic.424.1, Research Data Center of IZA (IDSC), V1
We conducted a baseline survey with 2,499 female final year undergraduate students between October 2018 and February 2019.1 Of them, 1,224 (49%) were randomly assigned to the treatment group. The intervention was reinforced between February-May 2019 (intervention reinforcement)....
Aug 22, 2024 - Research and Replication Data for Labor Economics
Australian Government Department of Education, 2024, "Longitudinal Surveys of Australian Youth, 2015 cohort (Version 7.0)", https://doi.org/10.4225/87/PJO7GB, Research Data Center of IZA (IDSC), V1
In 2015 a nationally representative sample of about 14,500 15 year-old students was selected to participate in the OECD’s Programme for International Student Assessment (PISA). This group of young people became the sixth cohort of the LSAY program (LSAY Y15). As part of PISA, ass...
Jun 12, 2024 - Research and Replication Data for Labor Economics
Jaeger, Simon; Roth, Christopher; Roussille, Nina; Schoefer, Benjamin, 2024, "Replication Data for: 'Worker Beliefs about Outside Options'", https://doi.org/10.7910/DVN/DCSR0N, Research Data Center of IZA (IDSC), V1, UNF:6:lDC6uX9GMUFs61mxcLifHg== [fileUNF]
The programs replicate tables and figures from "Worker Beliefs about Outside Options," by Jaeger, Roth, Roussille, and Schoefer. Please see the replication_documentation file for additional details.
Jun 12, 2024 - Research and Replication Data for Labor Economics
DellaVigna, Stefano; Heining, Joerg; Schmieder, Johannes F.; Trenkle, Simon, 2024, "Replication Data for: 'Evidence on Job Search Models from a Survey of Unemployed Workers in Germany'", https://doi.org/10.7910/DVN/PRHODV, Research Data Center of IZA (IDSC), V1
The data and programs replicate tables and figures from "Evidence on Job Search Models from a Survey of Unemployed Workers in Germany", by DellaVigna, Heining, Schmieder, and Trenkle. Please see the README file for additional details.
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 5, 2024 - IZA - Institute of Labor Economics
Australian National University (ANU); Beijing Normal University; Institute of Labor Economics (IZA), 2024, "Longitudinal Survey on Rural Urban Migration in China", https://doi.org/10.15185/izadp.7680.1, Research Data Center of IZA (IDSC), V3
The Longitudinal Survey on Rural Urban Migration in China (RUMiC) consists of three parts: the Urban Household Survey, the Rural Household Survey and the Migrant Household Survey. It was initiated by a group of researchers at the Australian National University, the University of...
Jan 29, 2024 - WageIndicator Foundation
WageIndicator Foundation, 2023, "WageIndicator Survey", https://doi.org/10.15185/wif.1, Research Data Center of IZA (IDSC), V2
The WageIndicator Survey is a continuous, multilingual, multi-country web-survey, counducted across 65 countries since 2000. The web-survey generates cross sectional and longitudinal data which might provide data especially about wages, benefits, working hours, working conditions...
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’...
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.