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Record W2073895284 · doi:10.1017/s1744133108004611

Policy choice or economic fundamentals: what drives the public–private health expenditure balance in Canada?

2008· article· en· W2073895284 on OpenAlexafffundabout
Livio Di Matteo

Bibliographic record

VenueHealth Economics Policy and Law · 2008
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsLakehead University
FundersCanadian Medical AssociationDoctors of BCMcMaster University
KeywordsPer capitaDemographic economicsHealth carePublic healthPopulationHealth policyPublic economicsEconomicsPer capita incomeInequalityBusinessEconomic growthDemographyMedicineSociology

Abstract

fetched live from OpenAlex

The public share of Canadian total health expenditure declined between 1975 and 2005 but categories such as physicians stayed constant while drugs, other institutions, and capital spending saw increases. Regressions find the key determinants of the public share to be: the relative price of health care, per capita income, federal transfers, proportion of population over age 65, provincial dummy variables, political parties, the onset of the Canada Health Act and the Canada Health and Social Transfer (CHST), and a time trend invoking technological change. Increasing income inequality is not a factor eroding the public share. Moreover, provinces governed by center-left parties are associated with lower public shares in the physician and other health professional categories. The significance of variables like the Canada Health and Social Transfer, the Canada Health Act and provincial differences suggest the increase in the private share of health spending since 1975 is partly the result of policy choices. As the public share has only declined from approximately 76% to 70% over 30 years, it appears the shift towards private care is one of marginal increments. Canadians remain in conflict over their health care system as they appear willing to tolerate only marginal accretions in the overall private share of health spending but accept larger changes across health expenditure categories and provincial systems.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.077
GPT teacher head0.416
Teacher spread0.339 · 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 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

Citations17
Published2008
Admission routes3
Has abstractyes

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