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Trade liberalisation,poverty, and inequality in Vietnam: a quantile regression approach
Authors:Minh Son Le  Jen-Je Su  Jeremy Nguyen
Institution:1. International Economics Faculty, Banking University of HCMC, Ho Chi Minh, Vietnamminhson.le@griffithuni.edu.au;3. Department of Accounting, Finance and Economics, Griffith Business School, Griffith University, Brisbane, Queensland, Australia;4. Department of Accounting, Economics and Finance, Swinburne University of Technology, Hawthorn, Victoria, Australia
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.
Keywords:Trade liberalisation  poverty  inequality  quantile regression  rural households  Vietnam
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