Metrics
539 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 7 of 7 Results
Apr 30, 2024 - IZA - Institute of Labor Economics
Andre, Peter; Boneva, Teodora; Chopra, Felix; Falk, Armin, 2023, "Replication Data Based on: Global Climate Change Survey", https://doi.org/10.15185/gccs.1, Research Data Center of IZA (IDSC), V5
The global climate, a shared resource, needs collaborative efforts worldwide. A behavioral science perspective can help to better understand the human factor, which is crucial in addressing climate change. To improve our knowledge about the global willingness to cooperate and act...
Mar 12, 2024 - IZA - Institute of Labor Economics
Acton, Riley K.; Cao, Wenjia; Cook, Emily E.; Imberman, Scott A.; Lovenheim, Micheal F., 2024, "The Effect of Vaccine Mandates on Disease Spread: Evidence from College COVID-19 Mandates", https://doi.org/10.15185/jhr2024.1, Research Data Center of IZA (IDSC), V2
The study examines the effect of college- and university-imposed COVID-19 vaccine mandates for students on county-level COVID-19 infections, hospitalizations, deaths, and other health outcomes leveraging several rich sources of data. The researchers obtain information on vaccine...
Jan 29, 2024 - IZA - Institute of Labor Economics
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...
Nov 12, 2023 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
Alemu, Getnet; Bedi, Arjun; Shiferaw, Admasu; Söderbom, Måns, 2023, "G²LM|LIC - Ethiopian Manufactoring Enterprise Survey", https://doi.org/10.15185/glmlic.330.1, Research Data Center of IZA (IDSC), V2
The data were collected during April and May 2016 on a sample of 300 Ethiopian manufacturing firms and 3.000 workers. As sampling frame the 2015 Census of Manufacturing Firms was used conducted by the Central Statistical Agency (CSA) of Ethiopia that captures all manufacturing fi...
Nov 12, 2023 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
Bau, Natalie; Khanna, Gaurav; Low, Corinne; Shah, Manisha; Sharmin, Sreyashi; Voena, Alessandra, 2023, "G²LM|LIC- Women’s Well-Being During a Pandemic and its Containment", https://doi.org/10.15185/glmlic.708.1, Research Data Center of IZA (IDSC), V2
Data is based on a phone survey of 1,545 rural Indian households collected in August 2020 in 20 districts across 6 states (Rajasthan, Uttar Pradesh, Bihar, Jharkhand, Madhya Pradesh, and Maharashtra) in Northern India in August 2020. Households participated in a 20–30 min survey...
Oct 20, 2023 - IZA - Institute of Labor Economics
Arni, Patrick; Caliendo, Marco; Künn, Steffen; Zimmermann, Klaus F., 2023, "IZA Evaluation Dataset Survey", https://doi.org/10.15185/izadp.7971.1, Research Data Center of IZA (IDSC), V2
The IZA Evaluation Dataset Survey (IZA ED) was developed in order to obtain reliable longitudinal estimates for the impact of Active Labor Market Policies (ALMP). Moreover, it is suitable for studying the processes of job search and labor market reintegration. The data allow anal...
Oct 9, 2023 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
Miller, Amalia Rebecca; Ramdas, Kamalini; Sungu, Alp, 2023, "G²LM|LIC - Browsers Don't Lie", https://doi.org/10.15185/glmlic.687.1, Research Data Center of IZA (IDSC), V1
The project collaborated with PY Insights, an internet-browser analytics platform, and Dynata, a global first-party data platform, to field the survey between mid-May and early June 2020. Individuals drawn from Dynata’s marketing pools in India, Kenya and Nigeria were invited to...
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.