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Data and Code for: Job Search and Hiring with Limited Information about Workseekers' Skills

Principal Investigator(s): View help for Principal Investigator(s) Eliana Carranza, World Bank; Robert Garlick, Duke University; Kate Orkin, University of Oxford; Neil Rankin, University of Stellenbosch

Version: View help for Version V1

Name	File Type	Size	Last Modified
replication_materials_AER-2020-0961			09/21/2022 06:21:PM

Project Citation:

Carranza, Eliana, Garlick, Robert, Orkin, Kate, and Rankin, Neil. Data and Code for: Job Search and Hiring with Limited Information about Workseekers’ Skills. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-11-02. https://doi.org/10.3886/E172902V1

Project Description

Summary: This project measures job search and hiring in Johannesburg, South Africa, between 2016 and 2017 using data from surveys of firms and workseekers, field experiments with workseekers, choice experiments with firms, and a correspondence study with job applications.

Funding Sources: National Science Foundation (SES-1824413); World Bank; Private Enterprise Development in Low Income Countries; Upjohn Institute for Employment Research; UKRI GCRF Accelerating Achievement for Africa’s Adolescents Hub

Scope of Project

JEL Classification:
      J23 Labor Demand
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials
      J41 Labor Contracts
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
      O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

Geographic Coverage: South Africa

Time Period(s): 2016 – 2017

Data Type(s): administrative records data; survey data

Methodology

Response Rate: 83-100% across different survey instruments.

Related Publications

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Published Versions

V2 [2023-06-28]

V1 [2022-11-02]

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DDI 2.5

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