Trade liberalisation, poverty, and inequality in Vietnam: a quantile regression approach

C-Tier
Journal: Applied Economics
Year: 2019
Volume: 51
Issue: 36
Pages: 3971-3981

Authors (3)

Minh Son Le (not in RePEc) Jen-Je Su (not in RePEc) Jeremy Nguyen (Swinburne University of Techno...)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This study examines the effects of trade liberalisation on rural household welfare, poverty, and inequality in Vietnam, with the use of multiple estimation strategies, including the panel quantile regression approach based on Canay's two-step estimator. Taking account of the multi-faceted nature of trade liberalisation, we consider a set of household-level trade-related variables, including employment in export, import-competing, and manufacturing sectors. A unique panel data set is constructed from the Vietnam Household Living Standards Surveys conducted in 2002, 2004 and 2006. We find that employment in trade-related sectors contributes significantly to rural household welfare. Moreover, the effects of trade-related employment on welfare are heterogeneous across the welfare/income distribution, in that trade-related employment sectors have different influences on different groups/quantiles of households.

Technical Details

RePEc Handle
repec:taf:applec:v:51:y:2019:i:36:p:3971-3981
Journal Field
General
Author Count
3
Added to Database
2026-01-26