ArticlePopulation research and policy review2026
The Impact of Precise Geographic Adjustments on the Supplemental Poverty Measure.
Article in Population research and policy review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The official poverty measure of the United States remains unequipped to appropriately capture poverty across America. As a result, the Supplemental Poverty Measure (SPM) has increasingly supplanted the official measure in policy analysis and statistics. A primary point of conflict among poverty-focused scholars regarding the SPM is its current geographic adjustment, which adjusts poverty thresholds at three spatial scales: identified metropolitan areas, unidentified metropolitan areas by state, and nonmetropolitan areas by state. Pooling all nonmetropolitan counties within each state into a single adjustment is believed to be responsible for the 'flip' in the rural-urban poverty differential between the official measure and the SPM. Using federally restricted data, we address this conflict and generate novel estimates of the SPM using county-specific, hybrid, and commuting-zone geographic adjustments. Our estimates illustrate the role of the current adjustment in our understanding of rural-urban poverty, while also demonstrating the utility of our preferred commuting-zone-level adjustment. Supplementary Information: The online version contains supplementary material available at 10.1007/s11113-026-09995-1.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.