The impact of vocational training on earnings in Bangladesh

In Bangladesh, persistent skills mismatches, limited access to formal training, and the dominance of informal employment continue to hinder earnings growth and increase income inequality. Despite the promotion of vocational training as a crucial policy tool for improving productivity and employability, there remains a dearth of robust empirical evidence on its wage returns. This paper examines the impact of vocational training on earnings in Bangladesh. It uses data from the 2016–17 Quarterly Labour Force Survey (QLFS) conducted by the Bangladesh Bureau of Statistics (BBS). The study focuses on the fourth quarter of the QLFS, which includes 16,437 individuals engaged in economic activities. To account for non-random selection into training programs, the study employs propensity score matching (PSM), with propensity scores estimated using a probit model. The results indicate that vocational training has a statistically significant positive impact on earnings. Depending on the matching technique used, individuals who receive vocational training earn approximately BDT 1956–3229 more than those who do not. These findings suggest that vocational training plays an important role in enhancing income levels and reducing earnings inequality in Bangladesh. However, the study relies on cross-sectional data and cannot capture long-term earnings trajectories, training quality, or post-training job mobility. Strengthening training infrastructure, expanding access, and aligning vocational curricula with labor market demand are therefore essential to maximize the long-term economic and social returns of vocational training policies.

Authors

Institutions

Publication Details

Journal
Discover Education
Published
2026-03-14
DOI
https://doi.org/10.1007/s44217-026-01357-5
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of vocational training on earnings in Bangladesh

Md Nazmus Sadekin, Tanvir Ahmed, Zakia Sultana, Md. Yousuf Hossain
Discover Education
Labor market dynamics and wage inequality
article

The impact of vocational training on earnings in Bangladesh

Md Nazmus Sadekin, Tanvir Ahmed, Zakia Sultana, Md. Yousuf Hossain
article en

Abstract

In Bangladesh, persistent skills mismatches, limited access to formal training, and the dominance of informal employment continue to hinder earnings growth and increase income inequality. Despite the promotion of vocational training as a crucial policy tool for improving productivity and employability, there remains a dearth of robust empirical evidence on its wage returns. This paper examines the impact of vocational training on earnings in Bangladesh. It uses data from the 2016–17 Quarterly Labour Force Survey (QLFS) conducted by the Bangladesh Bureau of Statistics (BBS). The study focuses on the fourth quarter of the QLFS, which includes 16,437 individuals engaged in economic activities. To account for non-random selection into training programs, the study employs propensity score matching (PSM), with propensity scores estimated using a probit model. The results indicate that vocational training has a statistically significant positive impact on earnings. Depending on the matching technique used, individuals who receive vocational training earn approximately BDT 1956–3229 more than those who do not. These findings suggest that vocational training plays an important role in enhancing income levels and reducing earnings inequality in Bangladesh. However, the study relies on cross-sectional data and cannot capture long-term earnings trajectories, training quality, or post-training job mobility. Strengthening training infrastructure, expanding access, and aligning vocational curricula with labor market demand are therefore essential to maximize the long-term economic and social returns of vocational training policies.

Discover Education
Hamdard University Bangladesh (BD), Mawlana Bhashani Science and Technology University (BD)
Decent work and economic growth
Openalex Percentile: Top 25%
Labor market dynamics and wage inequality
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.