Job Quality in the Developing World

ABSTRACT Measuring job quality across countries has been challenging and has typically relied on a single indicator, such as formality or wages. To contribute to this critical policy issue, this paper presents a first global estimate of job quality departing from microdata. It assembles a harmonized global dataset of labor force and household surveys to produce a measure of job quality across four dimensions: sufficient income, access to employment benefits, job stability, and adequate working conditions. Results for 40 developing countries show significant variation in job quality across countries, economic sectors, and sociodemographic characteristics, including age, location, and educational attainment. Countries in the Latin America and the Caribbean region have relatively higher levels of job quality, while countries in Sub‐Saharan Africa display the lowest levels of job quality. Most workers in the sectors of finance and business services, public administration, and utilities have, on average, better jobs. Higher education matters in securing greater job quality, while the average job quality of wage employment is relatively similar between men and women but with some variation in income and working conditions. Policy efforts should focus on expanding access to quality jobs through investments in education, reviewing labor regulations, and sector‐specific strategies that raise productivity.

Authors

Institutions

Publication Details

Journal
Review of Development Economics
Published
2025-11-08
DOI
https://doi.org/10.1111/rode.70071
Primary Topic
International Labor and Employment Law
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Job Quality in the Developing World

Tyler Remick, Kersten Stamm, Carlos Rodríguez‐Castelán, Veronica Montalva‐Talledo et al.
Review of Development Economics
International Labor and Employment Law
article

Job Quality in the Developing World

Tyler Remick, Kersten Stamm, Carlos Rodríguez‐Castelán, Veronica Montalva‐Talledo, Shoghik Hovhannisyan
article en

Abstract

ABSTRACT Measuring job quality across countries has been challenging and has typically relied on a single indicator, such as formality or wages. To contribute to this critical policy issue, this paper presents a first global estimate of job quality departing from microdata. It assembles a harmonized global dataset of labor force and household surveys to produce a measure of job quality across four dimensions: sufficient income, access to employment benefits, job stability, and adequate working conditions. Results for 40 developing countries show significant variation in job quality across countries, economic sectors, and sociodemographic characteristics, including age, location, and educational attainment. Countries in the Latin America and the Caribbean region have relatively higher levels of job quality, while countries in Sub‐Saharan Africa display the lowest levels of job quality. Most workers in the sectors of finance and business services, public administration, and utilities have, on average, better jobs. Higher education matters in securing greater job quality, while the average job quality of wage employment is relatively similar between men and women but with some variation in income and working conditions. Policy efforts should focus on expanding access to quality jobs through investments in education, reviewing labor regulations, and sector‐specific strategies that raise productivity.

Review of Development Economics
International Finance Corporation (KZ), World Bank (US), George Washington University (US)
Openalex Percentile: Top 62%
International Labor and Employment Law
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Job Quality in the Developing World — Tyler Remick, Kersten Stamm, et al. · Review of Development Economics (2025) | TGRS Research Map | TGRS