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Record W2286200848 · doi:10.1377/hlthaff.2015.0100

The Economic Downturn And Its Lingering Effects Reduced Medicare Spending Growth By $4 Billion In 2009–12

2015· article· en· W2286200848 on OpenAlexaff
David Dranove, Craig Garthwaite, Christopher Ody

Bibliographic record

VenueHealth Affairs · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsRecessionEconomicsGreat recessionDemographic economicsHealth spendingLabour economicsHealth careHealth insuranceEconomic growthMacroeconomics

Abstract

fetched live from OpenAlex

Previous work has found a strong connection between the most recent economic recession and reductions in private health spending. However, the effect of economic downturns on Medicare spending is less clear. In contrast to studies involving earlier time periods, our study found that when the macroeconomy slowed during the Great Recession of 2007-09, so did Medicare spending growth. A small (14 percent) but significant share of the decline in Medicare spending growth from 2009 to 2012 relative to growth from 2004 to 2009 can be attributed to lingering effects of the recession. Absent the economic downturn, Medicare spending would have been $4 billion higher in 2009-12. A major reason for the relatively small impact of the macroeconomy is the relative lack of labor-force participation among people ages sixty-five and older. We estimate that if they had been working at the same rate as the nonelderly before the recession, the effect of the downturn on Medicare spending growth would have been twice as large.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.399
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2015
Admission routes1
Has abstractyes

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