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The Non-uniqueness Property of the Intrinsic Estimator in APC Models

Overview of attention for article published in Demography, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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11 tweeters

Citations

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12 Dimensions

Readers on

mendeley
16 Mendeley
Title
The Non-uniqueness Property of the Intrinsic Estimator in APC Models
Published in
Demography, December 2014
DOI 10.1007/s13524-014-0360-3
Pubmed ID
Authors

Ben Pelzer, Manfred te Grotenhuis, Rob Eisinga, Alexander W. Schmidt-Catran

Abstract

This article explores an important property of the intrinsic estimator that has received no attention in literature: the age, period, and cohort estimates of the intrinsic estimator are not unique but vary with the parameterization and reference categories chosen for these variables. We give a formal proof of the non-uniqueness property for effect coding and dummy variable coding. Using data on female mortality in the United States over the years 1960-1999, we show that the variation in the results obtained for different parameterizations and reference categories is substantial and leads to contradictory conclusions. We conclude that the non-uniqueness property is a new argument for not routinely applying the intrinsic estimator.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 75%
Professor 1 6%
Student > Postgraduate 1 6%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 0 0%
Readers by discipline Count As %
Social Sciences 7 44%
Medicine and Dentistry 6 38%
Earth and Planetary Sciences 1 6%
Unspecified 1 6%
Arts and Humanities 1 6%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 January 2015.
All research outputs
#2,214,266
of 13,039,608 outputs
Outputs from Demography
#520
of 1,346 outputs
Outputs of similar age
#51,970
of 291,792 outputs
Outputs of similar age from Demography
#13
of 25 outputs
Altmetric has tracked 13,039,608 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 61% 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 291,792 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.