Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 394

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching

Open access
Jalan, Jyotsna, Ravallion, Martin·2003·Journal of Business & Economic Statistics

Abstract

We apply recent advances in propensity-score matching (PSM) to the problem of estimating the distribution of net income gains from an Argentinean workfare program. PSM has a number of attractive features in this context, including the need to allow for heterogeneous impacts, while optimally weighting observed characteristics when forming a comparison group. The average direct gain to the participant is found to be about half the gross wage. Over half of the beneficiaries are in the poorest decile nationally, and 80%% are in the poorest quintile. Our PSM estimator is reasonably robust to a number of changes in methodology.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1198/073500102288618720

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 1 references

Cited by

See all 394

Metadata

Authors
Jalan, J., & Ravallion, M.
Venue
Journal of Business & Economic Statistics
Published
2003-01
Volume
21
Issue
1
Pages
19-30
ISSN
  • 0735-0015 (ISSN-L)
  • 1537-2707
OpenAlex
W1490626470
Cited by
394
References
1
FWCI
74.87
Type
journal article
Language
en
Open access
green

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: Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching. https://app.cochat.ai/papers/10.1198/073500102288618720
The paper
Jalan, J., & Ravallion, M. (2003). Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching. Journal of Business & Economic Statistics. https://doi.org/10.1198/073500102288618720

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.