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Household Surveys, Consumption, and the Measurement of Poverty

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  • Angus Deaton

Abstract

Household surveys are playing an increasingly important role in the measurement of poverty and well-being around the world. The Living Standards Measurement Study, which was begun in the World Bank under the guidance of Graham Pyatt in 1979, has played an important role in this movement. Its surveys are widely used within the Bank to measure consumption-based poverty, and survey data are now the exclusive basis for the global poverty counts. This paper discusses a number of unresolved issues in using consumption-based surveys for measuring well-being, including the choice of a money-metric versus welfare-ratio approach, the collection of suitable price information, the effects of measurement error on estimation, and methods for correcting per capita consumption for the demographic structure of the household.

Suggested Citation

  • Angus Deaton, 2003. "Household Surveys, Consumption, and the Measurement of Poverty," Economic Systems Research, Taylor & Francis Journals, vol. 15(2), pages 135-159.
  • Handle: RePEc:taf:ecsysr:v:15:y:2003:i:2:p:135-159
    DOI: 10.1080/0953531032000091144
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    Citations

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    Cited by:

    1. Rentschler, Jun, 2016. "Incidence and impact: The regional variation of poverty effects due to fossil fuel subsidy reform," Energy Policy, Elsevier, vol. 96(C), pages 491-503.
    2. David Stifel & Luc Christiaensen, 2007. "Tracking Poverty Over Time in the Absence of Comparable Consumption Data," World Bank Economic Review, World Bank Group, vol. 21(2), pages 317-341, June.
    3. repec:spr:soinre:v:132:y:2017:i:3:d:10.1007_s11205-016-1335-0 is not listed on IDEAS
    4. Dhongde, Shatakshee & Minoiu, Camelia, 2013. "Global Poverty Estimates: A Sensitivity Analysis," World Development, Elsevier, vol. 44(C), pages 1-13.
    5. Kalkuhl, Matthias & Fernandez Milan, Blanca & Schwerhoff, Gregor & Jakob, Michael & Hahnen, Maren & Creutzig, Felix, 2017. "Fiscal Instruments for Sustainable Development: The Case of Land Taxes," MPRA Paper 78652, University Library of Munich, Germany.
    6. repec:spr:ssefpa:v:9:y:2017:i:5:d:10.1007_s12571-017-0722-y is not listed on IDEAS
    7. Sundar, B. & Virmani, Vineet, 2013. "“Impatience” of Forest Dependent Communities - Evidence from Andhra Pradesh," IIMA Working Papers WP2013-12-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    8. repec:gam:jsusta:v:9:y:2017:i:6:p:962-:d:100649 is not listed on IDEAS
    9. Stefano Marchetti & Caterina Giusti & Monica Pratesi, 2016. "The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy
      [Die Nutzung von Twitter Daten um die Small Area Schätzungen vom Ausgabenanteil
      ," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 79-93, October.
    10. Miriam Hortas-Rico & Jorge Onrubia & Daniele Pacifico, 2014. "Estimating the Personal Income Distribution in Spanish Municipalities Using Tax Micro-Data," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1419, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    11. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2016. "The effect of improved storage innovations on food security and welfare in Ethiopia," MERIT Working Papers 063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. repec:eee:jfpoli:v:75:y:2018:i:c:p:52-67 is not listed on IDEAS
    13. Sundar, B. & Virmani, Vineet, 2013. "Attitudes towards Risk of Forest Dependent Communities - Evidence from Andhra Pradesh," IIMA Working Papers WP2013-12-01, Indian Institute of Management Ahmedabad, Research and Publication Department.

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    Keywords

    Household Surveys; Consumption; Poverty;

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