Micro-level estimation of welfare

Chris Elbers, Jean Lanjouw and Peter Lanjouw

No 2911, Policy Research Working Paper Series from The World Bank

Abstract: The authors construct and derive the properties of estimators of welfare that take advantage of the detailed information about living standards available in small household surveys and the comprehensive coverage of a census or large sample. By combining the strengths of each, the estimators can be used at a remarkably disaggregated level. They have a clear interpretation, are mutually comparable, and can be assessed for reliability using standard statistical theory. Using data from Ecuador, the authors obtain estimates of welfare measures, some of which are quite reliable for populations as small as 15,000 households--a"town."They provide simple illustrations of their use. Such estimates open up the possibility of testing, at a more convincing intra-country level, the many recent models relating welfare distributions to growth and a variety of socioeconomic and political outcomes.

Keywords: Statistical&Mathematical Sciences; Economic Theory&Research; Environmental Economics&Policies; Scientific Research&Science Parks; Public Health Promotion; Scientific Research&Science Parks; Science Education; Statistical&Mathematical Sciences; Economic Theory&Research; VN-Acb Mis -- IFC-00535908 (search for similar items in EconPapers)
Date: 2002-10-31
References: Add references at CitEc
Citations: View citations in EconPapers (72)

Downloads: (external link)
http://www-wds.worldbank.org/external/default/WDSC ... d/PDF/multi0page.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wbk:wbrwps:2911

Access Statistics for this paper

More papers in Policy Research Working Paper Series from The World Bank 1818 H Street, N.W., Washington, DC 20433. Contact information at EDIRC.
Bibliographic data for series maintained by Roula I. Yazigi ().