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Axiomatically Sound Poverty Measurement With Scarce Data And Price Dispersion

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  • Christophe Muller

    ()
    (Universidad de Alicante)

Abstract

We derive a parametric formula of the Watts' poverty index for the bivariate lognormal distribution of price indices and nominal living standards. This enables us to analyze the contributions of price and nominal living standard distributions to poverty, to estimate poverty when only means and variances are known. We also derive a statistical inference framework. Using data from peasants in Rwanda in four quarters, we show that poverty estimates based on scarce information are generally not significantly different from nonparametric estimates based on full survey information.

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File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2007-02.pdf
File Function: Fisrt version / Primera version, 2007
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Bibliographic Info

Paper provided by Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) in its series Working Papers. Serie AD with number 2007-02.

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Length: 47 pages
Date of creation: Mar 2007
Date of revision:
Publication status: Published by Ivie
Handle: RePEc:ivi:wpasad:2007-02

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Related research

Keywords: Measurement and analysis of poverty; Income distribution; Personal income distribution.;

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References

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  1. Zheng, Buhong, 1997. " Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-62, June.
  2. Townsend, Robert M, 1994. "Risk and Insurance in Village India," Econometrica, Econometric Society, vol. 62(3), pages 539-91, May.
  3. van Praag, Bernard M S & Hagenaars, Aldi J M & van Eck, Wim, 1983. "The Influence of Classification and Observation Errors on the Measurement of Income Inequality," Econometrica, Econometric Society, vol. 51(4), pages 1093-108, July.
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Cited by:
  1. María Dolores Furió & Vicente Meneu, 2009. "Expectations and Forward Risk Premium in the Spanish Power Market," Working Papers. Serie AD 2009-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

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