<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel rdf:about="http://dspace.ewubd.edu:8080/handle/123456789/4689">
<title>Thesis 2025</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/4689</link>
<description/>
<items>
<rdf:Seq>
<rdf:li rdf:resource="http://dspace.ewubd.edu:8080/handle/123456789/4690"/>
</rdf:Seq>
</items>
<dc:date>2026-04-05T23:51:21Z</dc:date>
</channel>
<item rdf:about="http://dspace.ewubd.edu:8080/handle/123456789/4690">
<title>Rural Urban Wage Gap in Bangladesh : Evidence from HIES 2022</title>
<link>http://dspace.ewubd.edu:8080/handle/123456789/4690</link>
<description>Rural Urban Wage Gap in Bangladesh : Evidence from HIES 2022
Mehdi, Syed Kamran
This study examines the rural–urban wage gap in Bangladesh using data from the Household&#13;
Income and Expenditure Survey (HIES) 2022. Applying the Oaxaca–Blinder decomposition&#13;
method, along with quantile decomposition and propensity score matching, we analyze the&#13;
extent to which differences in wages can be explained by observable characteristics such&#13;
as education, occupation, and sectoral affiliation, and how much remains unexplained. Results&#13;
reveal a significant wage premium for urban workers, with education and occupational&#13;
structure accounting for the largest share of the explained gap. However, a substantial unexplained&#13;
component persists, suggesting structural disadvantages for rural workers. These&#13;
findings have important policy implications for reducing spatial inequality, improving rural&#13;
education, skills development, and promoting inclusive economic growth in Bangladesh.&#13;
Keywords: Wage inequality, Human capital, Rural–urban gap, Labor markets in Bangladesh,&#13;
Oaxaca–Blinder decomposition, Quantile decomposition, Household Income and Expenditure&#13;
Survey (HIES) 2022.&#13;
JEL Codes: J31 (Wage Level and Structure; Wage Differentials), O15 (Human Resources;&#13;
Human Development; Income Distribution; Migration ), R23 ( Regional Labor Markets;&#13;
Neighbourhood Characteristics ),J24 (Human Capital; Skills; Occupational Choice; Labor&#13;
Productivity),C21 (Cross-Sectional Models; Quantile Regression; Decomposition Methods;&#13;
Treatment Effect Models)
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor in Economics of East West University, Dhaka, Bangladesh.
</description>
<dc:date>2025-09-16T00:00:00Z</dc:date>
</item>
</rdf:RDF>
