Type of Document Master's Thesis Author Eriksson, Katherine Author's Email Address firstname.lastname@example.org URN etd-08282007-121603 Title Exploring Changes in Poverty in Zimbabwe between 1995 and 2001 using Parametric and Nonparametric Quantile Regression Decomposition Techniques Degree Master of Science Department Agricultural and Applied Economics Advisory Committee
Advisor Name Title Alwang, Jeffrey R. Committee Co-Chair Parmeter, Christopher F. Committee Co-Chair Taylor, Daniel B. Committee Member Keywords
- nonparametric quantile regression
Date of Defense 2007-08-21 Availability unrestricted AbstractThis paper applies and extends Machado and Mata's parametric quantile decomposition method and a similar nonparametric technique to explore changes in welfare in Zimbabwe between 1995 and 2001. These methods allow us to construct a counterfactual distribution in order to decompose the shift into the part due to changes in endowments and that due to changes in returns. We examine two subsets of a nationally representative dataset and find that endowments had a positive effect but that returns account for more of the difference. In communal farming areas, the effect of returns was positive while, in urban Harare, it was negative.
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