Exploring Changes in Poverty in Zimbabwe between 1995 and 2001 using Parametric and Nonparametric Quantile Regression Decomposition Techniques
dc.contributor.author | Eriksson, Katherine | en |
dc.contributor.committeecochair | Parmeter, Christopher F. | en |
dc.contributor.committeecochair | Alwang, Jeffrey R. | en |
dc.contributor.committeemember | Taylor, Daniel B. | en |
dc.contributor.department | Agricultural and Applied Economics | en |
dc.date.accessioned | 2014-03-14T20:44:23Z | en |
dc.date.adate | 2007-11-27 | en |
dc.date.available | 2014-03-14T20:44:23Z | en |
dc.date.issued | 2007-08-21 | en |
dc.date.rdate | 2007-11-27 | en |
dc.date.sdate | 2007-08-28 | en |
dc.description.abstract | This 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. | en |
dc.description.degree | Master of Science | en |
dc.identifier.other | etd-08282007-121603 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-08282007-121603/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/34826 | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | katherine_eriksson_thesis.pdf | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Zimbabwe | en |
dc.subject | poverty | en |
dc.subject | decomposition | en |
dc.subject | nonparametric quantile regression | en |
dc.title | Exploring Changes in Poverty in Zimbabwe between 1995 and 2001 using Parametric and Nonparametric Quantile Regression Decomposition Techniques | en |
dc.type | Thesis | en |
thesis.degree.discipline | Agricultural and Applied Economics | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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