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Progress on Poverty? New Estimates of Historical Trends Using an Anchored Supplemental Poverty Measure

Overview of attention for article published in Demography, June 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 news outlet
blogs
2 blogs
policy
2 policy sources
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19 X users

Citations

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43 Dimensions

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mendeley
51 Mendeley
Title
Progress on Poverty? New Estimates of Historical Trends Using an Anchored Supplemental Poverty Measure
Published in
Demography, June 2016
DOI 10.1007/s13524-016-0485-7
Pubmed ID
Authors

Christopher Wimer, Liana Fox, Irwin Garfinkel, Neeraj Kaushal, Jane Waldfogel

Abstract

This study examines historical trends in poverty using an anchored version of the U.S. Census Bureau's recently developed Research Supplemental Poverty Measure (SPM) estimated back to 1967. Although the SPM is estimated each year using a quasi-relative poverty threshold that varies over time with changes in families' expenditures on a core basket of goods and services, this study explores trends in poverty using an absolute, or anchored, SPM threshold. We believe the anchored measure offers two advantages. First, setting the threshold at the SPM's 2012 levels and estimating it back to 1967, adjusted only for changes in prices, is more directly comparable to the approach taken in official poverty statistics. Second, it allows for a better accounting of the roles that social policy, the labor market, and changing demographics play in trends in poverty rates over time, given that changes in the threshold are held constant. Results indicate that unlike official statistics that have shown poverty rates to be fairly flat since the 1960s, poverty rates have dropped by 40 % when measured using a historical anchored SPM over the same period. Results obtained from comparing poverty rates using a pretax/pretransfer measure of resources versus a post-tax/post-transfer measure of resources further show that government policies, not market incomes, are driving the declines observed over time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Student > Master 7 14%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Lecturer 3 6%
Other 8 16%
Unknown 16 31%
Readers by discipline Count As %
Social Sciences 20 39%
Nursing and Health Professions 3 6%
Economics, Econometrics and Finance 3 6%
Business, Management and Accounting 2 4%
Computer Science 1 2%
Other 3 6%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2023.
All research outputs
#1,071,738
of 25,403,829 outputs
Outputs from Demography
#284
of 1,994 outputs
Outputs of similar age
#20,157
of 366,946 outputs
Outputs of similar age from Demography
#3
of 16 outputs
Altmetric has tracked 25,403,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 366,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.