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  • 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

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

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 Logo

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

Date Created: 2022-11-30

Scope of Data Set

Subject Terms: AGE, DEVELOPING COUNTRIES, EDUCATION, GENDER, INTERNET, JOB HUNTING, JOB VACANCIES, LOW PAY, WAGES

Time Periods: 2019 - 2020

Citation(s)

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.

Publication(s)

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Availability:

Restricted Access

Investigator(s):
  1. Bloesch, Justin (Harvard University)
  2. Mangal, Kunal (Harvard University)
  3. Singh, Niharika (Columbia University)
Contributor(s):
  1. QuikrJobs
  2. JPAL South Asia
Type:

Administrative data

Source:

Aggregation

Right:

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.

Coverage:

State Level

Geographic Coverage:
 INDIA