G2LM|LIC - How Labor Market Tightness and Job Search Activity Changed in the First Year of COVID-19 in India: Evidence from a Job Portal | Leveraging “Big Data” to Improve Labor Market Outcomes
Data Set Description
In this project, rich administrative data on search and recruitment from a low-wage online job portal are used to study the labor market impacts of COVID-19 in India. The data from the job portal includes information on vacancies and job seekers across 2019 and 2020. It covers all users that either posted a vacancy or applied to a job on the portal across the two years.
The following datasets are available:
- Aggregate data
- State level data
Each dataset reports the following details:
- Vacancies: Number of vacancies; number of full-time vacancies; average minimum salary for full-time vacancies; number of full-time vacancies above minimum salary offer of Rs. 15,000; average minimum experience for full-time vacancies
- Job seekers: Number of job seekers; Number of job seekers by gender, age, education, and gender X age, education
Scope of Data Set
Time Periods: 2019 - 2020
G2LM|LIC - How Labor Market Tightness and Job Search Activity Changed in the First Year of COVID-19 in India: Evidence from a Job Portal. Research Data Center of IZA (IDSC). Version 1.0. doi:10.15185/glmlic.707.1.Researchers working with the “G2LM|LIC - How Labor Market Tightness and Job Search Activity Changed in the First Year of COVID-19 in India: Evidence from a Job Portal” are obligated to acknowledge the data base and its documentation within their publications, including the DOI, by using this reference.
- Bloesch, Justin (Harvard University)
- Mangal, Kunal (Harvard University)
- Singh, Niharika (Columbia University)
- JPAL South Asia
Access to the data is provided to non-for-profit research, replication and teaching purposes. The data is available from the Research Data Center of IZA (IDSC).
Please contact IDSC for any access requests.