The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Measuring Changes in Poverty: A Methodological Case Study of Indonesia during an Adjustment Period
Abstract
Analysis of the effects of policy changes on the poor is often hindered by the difficulties inherent in measuring poverty and comparing levels of poverty before and after policy changes. This article outlines two techniques which can overcome many of these measurement problems: stochastic dominance conditions, which can facilitate a robust poverty ranking of distributions of living standards; and a decomposable poverty index, which allows measured changes in aggregate poverty to be disaggregated into their various components, such as the changes among population subgroups, and growth and redistributive components. These techniques can be applied to a wide range of indicators of economic well-being and poverty lines, and to assumptions about the poor. The approaches are illustrated using household survey data from Indonesia before and after external shocks and the subsequent structural adjustment program in the mid-1980s. The study finds that favorable initial conditions and a pro-poor pattern of growth enabled Indonesia to maintain its momentum in poverty alleviation during the period.
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
Cites
A Class of Decomposable Poverty Measures
Foster, J., Greer, J., & Thorbecke, E. (1984) · Econometrica · doi:10.2307/1913475 · Cited by 5,447
Poverty: An Ordinal Approach to Measurement
Sen, A. (1976) · Econometrica · doi:10.2307/1912718 · Cited by 3,001
Measurement of τ polarizationPreprint
Al, H. H. E., Chiba, Y., Daigo, M., Fukawa, M., Fukushima, Y., Hamasaki, H., Hemmi, Y., Higuchi, M., Hirose, T., Homma, Y., et al. (1997) · Cited by 1,821
Summers, R., & Heston, A. (1988) · Review of Income and Wealth · doi:10.1111/j.1475-4991.1988.tb00558.x · Cited by 1,238
Atkinson, A. B. (1987) · Econometrica · doi:10.2307/1911028 · Cited by 1,118
Datt, G., & Ravallion, M. D. (1991) · RePEc: Research Papers in Economics · Cited by 837
Self-citationPOVERTY AND ECONOMIC GROWTH WITH APPLICATION TO CÔTE D'IVOIRE
Kakwani, N. (1993) · Review of Income and Wealth · doi:10.1111/j.1475-4991.1993.tb00443.x · Cited by 454
Social Security in a "Moral Economy": An Empirical Analysis for Java
Ravallion, M., & Dearden, L. (1988) · The Review of Economics and Statistics · doi:10.2307/1928148 · Cited by 164
Self-citationInequality and poverty orderings
Foster, J. E., & Shorrocks, A. F. (1988) · European Economic Review · doi:10.1016/0014-2921(88)90212-7 · Cited by 158
Poverty and undernutrition in Indonesia during the 1980sPreprint
Ravallion, M. D. (1989) · RePEc: Research Papers in Economics · Cited by 18
Self-citation
Cited by
Decomposition procedures for distributional analysis: a unified framework based on the Shapley value
Shorrocks, A. F. (2013) · The Journal of Economic Inequality · doi:10.1007/s10888-011-9214-z · Cited by 1,190
China's (uneven) progress against poverty
Ravallion, M., & Chen, S. (2007) · Journal of Development Economics · doi:10.1016/j.jdeveco.2005.07.003 · Cited by 1,152
Self-citationHuman Development in Poor Countries: On the Role of Private Incomes and Public Services
Anand, S., & Ravallion, M. (1993) · Journal of Economic Perspectives · doi:10.1257/jep.7.1.133 · Cited by 1,014
Self-citationExploring Alternative Measures of Welfare in the Absence of Expenditure Data
Sahn, D. E., & Stifel, D. (2003) · Review of Income and Wealth · doi:10.1111/j.0034-6586.2003.00100.x · Cited by 717
Ravallion, M. (2004) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-3242 · Cited by 434
Self-citation
Metadata
- Authors
- Ravallion, M., & Huppi, M.
- Venue
- The World Bank Economic Review
- Publisher
- Oxford University Press (OUP)
- Published
- 1991
- Volume
- 5
- Issue
- 1
- Pages
- 57-82
- ISSN
- 0258-6770 (ISSN-L)
- 1564-698X
- OpenAlex
- W1992765421
- Cited by
- 330
- References
- 10
- FWCI
- 27.81
- 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: Measuring Changes in Poverty: A Methodological Case Study of Indonesia during an Adjustment Period. https://app.cochat.ai/papers/10.1093/wber/5.1.57
- The paper
- Ravallion, M., & Huppi, M. (1991). Measuring Changes in Poverty: A Methodological Case Study of Indonesia during an Adjustment Period. The World Bank Economic Review. https://doi.org/10.1093/wber/5.1.57
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.