世界银行-巴基斯坦穷人分类（英）

Towards a Taxonomy of the Poor in Pakistan Christina Wieser Ibrahim Khan Public Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure Authorized Towards a Taxonomy of the Poor in Pakistan Christina Wieser Ibrahim Khan1 This version: July 23, 2024 Abstract Poor households are heterogeneous in the circumstances preventing an improvement in their welfare. It is important to understand the nuances within different types of poor households so that critical pathways out of poverty that remedy the variegated sets of constraints they face can be identified and acted on through policy action. This paper attempts to categorize the bottom 40th consumption percentile of households (B40) in Pakistan into different non-overlapping groups using a non-parametric hierarchical cluster analysis, which allows for an empirically driven taxonomy of the poor in the country. Using data from the Household Integrated Economic Survey (HIES) 2018-19, we identify five groups among the B40 and explore their salient household and occupational attributes through the lens of an asset framework of shared prosperity. Keywords: poverty, cluster analysis, Pakistan JEL Classification: I32, C3 1 Christina Wieser (cwieser@worldbank.org) is a Senior Economist in the Poverty and Equity Global Practice at the World Bank. Ibrahim Khan (mkhan83@worldbank.org) is a Consultant in the Poverty and Equity Global Practice at the World Bank. The authors would like to thank Moritz Meyer, Maria Qazi, Oscar Eduardo Barriga Cabanillas, and Jon Jellema for their excellent feedback. We declare that we have no relevant or material financial interests that relate to the research described in this paper. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank Group or any affiliated organizations, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. Disclaimer: This work is a product of the staff of the World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of the Executive Directors of the World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work and does not assume responsibility for any errors, omissions, or discrepancies in the information, or liability with respect to the use of or failure to use the information, methods, processes, or conclusions set forth. The boundaries, colors, denominations, links/footnotes, and other information shown in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. The citation of works authored by others does not mean the World Bank endorses the views expressed