THE MEASUREMENT OF POVERTY WITH GEOGRAPHICAL AND INTERTEMPORAL PRICE DISPERSION. EVIDENCE FROM RWANDA
Bibliographic record
Abstract
(english) It is not known to what extent welfare measures result from seasonal and geographical price differences rather than from differences in living standards across households. Using data from Rwanda in 1983, we show that the change in mean living standard indicators caused by local and seasonal price deflation is moderately significant at every quarter. By contrast, the differences in poverty measures caused by this deflation can be considerable, for chronic as well as transient or seasonal poverty indicators. Thus, poverty monitoring and anti-poverty targeting can be badly affected by inaccurate deflation of living standard data. Moreover, when measuring seasonal poverty, the deflation based on regional prices instead of local prices only partially corrects for spatial price dispersion. Using annual local prices instead of quarterly local prices only yields a partial deflation, which distorts the measure of poverty fluctuations across seasons and biases estimates of annual and chronic poverty. (français) On ne sait pas dans quelle mesure les indicateurs de bien-être social résultent de différences de prix plutôt que de différences saisonnières et géographiques de niveaux de vie entre ménages. A partir de données du Rwanda en 1983, nous montrons que le changement de la mesure du niveau de vie moyen causé par la déflation des prix est modéré bien que significatif à chaque trimestre, contrairement au changement des mesures de la pauvreté qui peut être considérable, que ce soit pour des indices de pauvreté chronique, transitoire ou saisonnière. Ainsi le suivi de la pauvreté et le ciblage anti-pauvreté peuvent être sévèrement affectés par une déflation imprécise des données de niveaux de vie. Pour la mesure de la pauvreté saisonnière, la déflation basée sur des indices de prix régionaux, au lieu d’indices de prix locaux corrige seulement partiellement la dispersion géographique des prix. De même, employer des prix locaux annuels au lieu de prix locaux trimestriels conduit à une déflation partielle qui non seulement distord la mesure des fluctuations de la pauvreté entre les saisons, mais fournit également des estimations biaisées des pauvretés chroniques et annuelles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".