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Measuring Inequalities: Do The Surveys Give The Real Picture? Study Of Two Surveys In Cote D’Ivoire And Madagascar

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Author Info
Sandrine Mesplé-Somps () (DIAL, IRD-Paris)
Charlotte Guénard () (DIAL, Paris 1 University - IEDES)

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Abstract

Measurements of standards of living and its distribution are affected by methodological choices made before the consumption and income aggregates are calculated and by failure to correct the primary databases, but several sources of bias can also have an impact. This study, based on surveys held in Madagascar and Côte d’Ivoire, aimed to detect these biases by applying several scenarios for calculating living standards aggregates, by analysing the internal coherency of the surveys and by confronting the survey data with other sources of data, namely the National Accounts and the Balance of Payments. Methodology was found to have little impact, except for the question of whether or not regional prices were taken into account. Although there was significant bias due to under-declaration, this was not easy to correct, notably with the multiple imputation method. However, the results show that average income levels appear to be underestimated by 15 to 50% in the two surveys in question. The different corrections bring inequality levels in both countries nearer to levels in the most inegalitarian countries such as Brazil.

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Paper provided by ECINEQ, Society for the Study of Economic Inequality in its series Working Papers with number 18.

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Length: 49 pages
Date of creation: 2006
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Handle: RePEc:inq:inqwps:ecineq2006-18

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Related research
Keywords: Keywords: household survey inequality missing data

Find related papers by JEL classification:
C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare

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  1. Michael Grimm & Charlotte Guénard & Sandrine Mesplé-Somps, 2001. "What has happened to the urban population in Côte d'Ivoire since the eighties ? An analysis of monetary poverty and deprivation over 15 years of household data," Working Papers DT/2001/14, DIAL (Développement, Institutions & Analyses de Long terme). [Downloadable!]
  2. François Bourguignon, 2002. "The growth elasticity of poverty reduction : explaining heterogeneity across countries and time periods," DELTA Working Papers 2002-03, DELTA (Ecole normale supérieure). [Downloadable!]
  3. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  4. Graham Pyatt, 2003. "Development and the Distribution of Living Standards: A Critique of the Evolving Data Base," Review of Income and Wealth, Blackwell Publishing, vol. 49(3), pages 333-358, 09. [Downloadable!] (restricted)
  5. Lillard, Lee & Smith, James P & Welch, Finis, 1986. "What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 489-506, June. [Downloadable!] (restricted)
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  6. Mistiaen, Johan A. & Ravallion, Martin, 2003. "Survey compliance and the distribution of income," Policy Research Working Paper Series 2956, The World Bank. [Downloadable!]
  7. Anthony B. Atkinson & Andrea Brandolini, 2001. "Promise and Pitfalls in the Use of "Secondary" Data-Sets: Income Inequality in OECD Countries As a Case Study," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 771-799, September. [Downloadable!] (restricted)
  8. Deaton, A., 2000. "Counting the World's Poor: Problems and Possible Solutions," Papers 197, Princeton, Woodrow Wilson School - Development Studies.
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  9. Angus Deaton, 2005. "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 395-395, 05. [Downloadable!] (restricted)
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  10. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," World Bank Economic Review, Oxford University Press, vol. 10(3), pages 565-91, September.
  11. Philippe Bocquier, 2004. "World Urbanization Prospects : an alternative to the UN model of projection compatible with urban transition theory," Working Papers DT/2004/08, DIAL (Développement, Institutions & Analyses de Long terme). [Downloadable!]
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