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Record W2133919547

Health Care Expenditures, Public Administration and the Business Cycle

2012· article· en· W2133919547 on OpenAlexaboutno aff
François Béland

Bibliographic record

VenueSocial and Economic Dimensions of an Aging Population Research Papers · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careRevenueContext (archaeology)DebtRecessionBusinessPublic healthBalanced budgetGovernment (linguistics)Public economicsEconomicsEconomic growthFinancePolitical scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Claims of the unsustainability of Medicare abound and have been fuelled by the consequences of the 2008-09 economic recession. The looming question for Canadian public health care services is "How will public administrations in Canada sustain their health care expenditures during the next few years, given the pressure from debt recovery and the new federal payment transfer for health care?” To examine these issues, variations from 1989 to 2009 in Canadian public administration health care expenditures (HCE) are compared with variations in GDP, in public administration revenue, their expenditures on items other than health care, transfer payments for health from the federal government to provinces, and debt charges. Since the turn of the millennium, Canadian public administrations have increased HCE in constant dollars in context of: 1) decreasing share of public revenue and expenditures in terms of GDP; 2) constant share (70%), since 1996, of expenditures for items other than health care on total expenditures ; 3) parallel trends, with a 3 year lag, for GDP and expenditures for services covered by Medicare; 4) constant share of total HCE in terms of public administration total revenues from 2003 to 2007; 5) constant share of federal transfers for health on provincial public administration expenditures for total health care and for Medicare; and 6) reverse trends for share of HCE and debt charges. Given this context, the rhetoric of apocalyptic share of HCE on public administration budget is having a boost, while increases in this share has more to do with the factors included in the denominator rather than with those in the numerator.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.100
GPT teacher head0.484
Teacher spread0.384 · 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.

Study designObservational
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

Citations1
Published2012
Admission routes1
Has abstractyes

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