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Cited by 870

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality

Open access
Davidson, Russell, Duclos, Jean-Yves·2000·Econometrica
DOI 10.1111/1468-0262.00167
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Abstract

We derive the asymptotic sampling distribution of various estimators frequently used to order distributions in terms of poverty, welfare and inequality. This includes estimators of most of the poverty indices currently in use, as well as estimators of the curves used to infer stochastic dominance of any order. These curves can be used to determine whether poverty, inequality or social welfare is greater in one distribution than in another for general classes of indices. We also derive the sampling distribution of the maximal poverty lines (or income censoring thresholds) up to which we may confidently assert that poverty or social welfare is greater in one distribution than in another. The sampling distribution of convenient estimators for dual approaches to the measurement of poverty is also established. The statistical results are established for deterministic or stochastic poverty lines as well as for paired or independent samples of incomes. Our results are briefly illustrated using data for 6 countries drawn from the Luxembourg Income Study data bases.

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Metadata

Authors
Davidson, R., & Duclos, J.-Y.
Venue
Econometrica
Publisher
The Econometric Society
Published
2000-11
Volume
68
Issue
6
Pages
1435-1464
ISSN
  • 0012-9682 (ISSN-L)
  • 1468-0262
DOI
10.1111/1468-0262.00167
OpenAlex
W2744732866
Cited by
870
References
47
FWCI
69.89
Type
journal article
Language
en
Open access
green

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