Linking Representative Household Models with Household Surveys for Poverty Analysis A Comparison of Alternative Methodologies
Pierre-Richard Agénor (),
Derek Chen and
Additional contact information
Derek Chen: World Bank, Washington D.C.
Development and Comp Systems from University Library of Munich, Germany
We compare three approaches to linking macro models with representative households and micro household income data in terms of their implications for measuring the poverty and distributional effects of poverty reduction strategies. These approaches are a simple micro- accounting method, an extension of that method to account for changes in employment structure, and the Beta distribution approach. Even though in our simulation exercises the three methods do not lead to fundamentally different results in absolute terms, we show that potential differences in the measurement of distributional and poverty effects of policy shocks can be very large.
Keywords: Applied General Equilibrium Models; Poverty; Income Distribution; Policy Evaluation (search for similar items in EconPapers)
JEL-codes: O P (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dev and nep-hpe
Note: Type of Document - pdf; pages: 49. 49 pages, pdf
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14) Track citations by RSS feed
Downloads: (external link)
Working Paper: Linking representative household models with household surveys for poverty analysis: a comparison of alternative methodologies (2004)
Working Paper: Linking Representative Household Models with Household Surveys for Poverty Analysis: A Comparison of Alternative Methodologies
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpdc:0405006
Access Statistics for this paper
More papers in Development and Comp Systems from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ().