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 - Asymmetric Information on the Skills of Workers and Matching in the Labor Market Logo

The project studies how employers and job seekers respond to credible information on skills that are difficult to observe, and how this affects matching in the labor market. Whether certificates on workers’ non-cognitive skills are disclosed to both sides of the market during job interviews between young workers and small firms in Uganda are experimentally varied.
The certificates cause workers to increase their labor market expectations, while high-ability managers revise their assessments of the workers’ skills upwards. The reaction in terms of beliefs leads to an increase in positive assortative matching and to higher earnings for workers, conditional on employment.

Date Created: 2022-05-12

Scope of Data Set

Subject Terms: ABILITY EVALUATION, BUSINESSES, DEVELOPING COUNTRIES, EMOTIONAL MATURITY, EMPLOYERS, INFORMAL ECONOMY, INTERPERSONAL TRUST, JOB HUNTING, LABOUR MARKET, LABOUR POLICY, MOTIVATION, PERSONALITY TRAITS, RECRUITMENT, UNEMPLOYMENT, VOCATIONAL EDUCATION, WAGES, YOUTH EMPLOYMENT, YOUTH UNEMPLOYMENT, EXPERIMENTAL ECONOMICS, COGNITIVE SKILLS

Time Periods: 2014 - 2017

Citation(s)

G2LM|LIC - Asymmetric Information on the Skills of Workers and Matching in the Labor Market. Research Data Center of IZA (IDSC). Version 1.0. doi:10.15185/glmlic.071.1

Researchers working with the “Asymmetric Information on the Skills of Workers and Matching in the Labor Market” are obligated to acknowledge the data base and its documentation within their publications, including the DOI, by using this reference.

Publication(s)

Availability:

Restricted Access


Investigator(s):
  1. Bassi, Vittorio (University of Southern California)
  2. Nansamba, Aisha (BRAC NGO)
  3. Rasul, Imran (University College London)
Type:

Cross section survey data
Administrative data
Field Experiment

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:
 UGANDA