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
收藏IDSC Dataverse2023-11-12 更新2026-04-11 收录
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https://dataverse.iza.org/dataset.xhtml?persistentId=doi:10.15185/glmlic.707.1
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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 and education
创建时间:
2023-11-12



