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Q-Squared in Policy: The Use of Qualitative and Quantitative Methods of Poverty Analysis in Decision-Making

dc.contributor.authorShaffer, Paul Kanbur, Ravi
dc.contributor.authorHang, Nguyen Thu
dc.contributor.authorAryeetey, Ellen Bortei-Doku
dc.date.accessioned2018-08-21T17:10:21Z
dc.date.available2018-08-21T17:10:21Z
dc.date.issued2009-01-01
dc.descriptionWP 2009-04 January 2009
dc.description.abstractThis introductory essay for the journal Symposium presents an overview of issues related to ‘Q-Squared in Policy: the use of qualitative and quantitative methods of poverty analysis in decision-making’. We focus on issues raised on the supply side of data use, relating, inter alia to the informational content and policy usefulness of different types of data and analysis. These issues are grouped under the headings of: outcomes vs. processes, unpacking processes and thick and thin. We begin however, with a brief discussion of one aspect of the demand side, namely the politics of data use, given its centrality to the issues at hand.
dc.identifier.urihttps://hdl.handle.net/1813/57953
dc.language.isoen_US
dc.publisherCharles H. Dyson School of Applied Economics and Management, Cornell University
dc.titleQ-Squared in Policy: The Use of Qualitative and Quantitative Methods of Poverty Analysis in Decision-Making
dc.typearticle
dcterms.licensehttp://hdl.handle.net/1813/57595

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