Got it
We use Google Analytics in compliance with German Data Protection Law. The site gathers data for the sole purpose of improving its services. You're able to decline now or later. By using our services, you agree to our use of cookies. You'll find more information here.

Data Set Description

G2LM|LIC - Characterizing Urban Labor Market Effects of COVID and Speeding Recovery Through a Job Search Platform Logo

The data collection from jobseekers and firms is done as part of the enrollment and operations for the job search platform called “Job Talash”. As part of the operations for the platform, vacancies are listed from enrolled firms on the platform and match candidates who meet the requirements of the vacancy. Candidates are then invited to apply for the vacancies that they have been matched to.

Firm Survey Dataset
The Firm survey dataset consists of all the attempts made to employers to enlist vacancies on the platform. The dataset also has the ads listing data which specifies the requirements of firms for vacancies that are listed on the platform, Job Talash. All registered firms on the platform receive a call every 3 months, asking them if they’d like to list a vacancy on the platform. If they decide to list a vacancy, the information about the requirements for the vacancy is collected so that relevant candidates can be matched to those jobs.

The Jobseeker Dataset
The Jobseeker dataset is based on the job matches generated for the jobseekers periodically based on their profile that includes, work experience, gender, education level and job interest. These job matches are communicated to the jobseeker via text message and phone call. A screening instrument is used by the field team while making phone calls for giving job updates to the jobseekers and recording their interest in the available positions. Along with the application interest, also information ) is collected about whether they have been employed to earn an income in the last 14 or 30 days (randomized recall period for each jobseeker.

Date Created: 2022-12-02

Scope of Data Set

Subject Terms: DISEASES, EMPLOYMENT OPPORTUNITIES, GENDER, JOB HUNTING, JOB VACANCIES, LABOUR MARKET, MINIMUM WAGES, RECRUITMENT

Time Periods: December 2019 - August 2022

Citation(s)

G2LM|LIC - Characterizing Urban Labor Market Effects of COVID and Speeding Recovery Through a Job Search Platform. International Research Data Center of IZA (IDSC). Version 1.0. doi:10.15185/glmlic.704.1

Researchers working with the “G2LM|LIC - Characterizing Urban Labor Market Effects of COVID and Speeding Recovery Through a Job Search Platform” are obligated to acknowledge the data base and its documentation within their publications, including the DOI, by using this reference.

Publication(s)

Availability:

Embargo


Investigator(s):
  1. Field, Erica (Duke University)
  2. Garlic, Rob (Duke University)
  3. Junaid, Syed Uzair (Centre for Economic Research in Pakistan)
  4. Shahid, Alieha (Duke University)
  5. Subramanian, Nivedhitha (Bates College)
  6. Vyborny, Kate (Duke Universoty)
Type:

Cross section survey data
Administrative data

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.


Geographic Coverage:
 PAKISTAN