The DOI matches its Crossref record.
Statistical Inference in the Measurement of Poverty
Abstract
Several poverty indices have been suggested to measure the intensity of poverty suffered by those below the poverty line. Because the indices are estimated on the basis of sample observations, we need to test whether the observed differences in their values are statistically significant. This paper provides distribution-free asymptotic confidence intervals and statistical inference for additive poverty indices. The methodology developed in the paper is applied to analyze poverty in Cote d'Ivoire from the data of the Living Standards Survey, 1985. Copyright 1993 by MIT Press.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
Davidson, R., & Duclos, J.-Y. (2000) · Econometrica · doi:10.1111/1468-0262.00167 · Cited by 870
Polarization: Concepts, Measurement, Estimation
Duclos, J.-Y., Esteban, J., & Ray, D. (2004) · Econometrica · doi:10.1111/j.1468-0262.2004.00552.x · Cited by 606
PROGRESA and Its Impacts on the Welfare of Rural Households in Mexico
(2005) · International Food Policy Research Institute eBooks · doi:10.2499/0896291421rr139 · Cited by 291
Rethinking the Sociological Measurement of Poverty
Brady, D. (2003) · Social Forces · doi:10.1353/sof.2003.0025 · Cited by 255
Chapter 6 Income poverty in advanced countries
Jäntti, M., & Danziger, S. (2000) · Handbook of Income Distribution · doi:10.1016/s1574-0056(00)80009-3 · Cited by 75
Metadata
- Authors
- Kakwani, N.
- Venue
- The Review of Economics and Statistics
- Publisher
- JSTOR
- Published
- 1993-11
- Volume
- 75
- Issue
- 4
- Pages
- 632
- ISSN
- 0034-6535 (ISSN-L)
- OpenAlex
- W2000451978
- Cited by
- 175
- References
- 0
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Statistical Inference in the Measurement of Poverty. https://app.cochat.ai/papers/10.2307/2110016
- The paper
- Kakwani, N. (1993). Statistical Inference in the Measurement of Poverty. The Review of Economics and Statistics. https://doi.org/10.2307/2110016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
