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Record W2106100902 · doi:10.1257/jel.52.2.480

The Changing Role of Government in Financing Health Care: An International Perspective

2014· article· en· W2106100902 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Economic Literature · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIncentivePublic economicsPoolingGovernment (linguistics)Health careBusinessCompetition (biology)RevenueQuality (philosophy)Perspective (graphical)FinanceEconomicsEconomic growthMarket economy

Abstract

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This paper explores the changing role of government involvement in health care financing policy outside the United States. It provides a review of the economics literature in this area to elucidate the implications of recent policy changes on efficiency, costs, and quality. Our review reveals that there has been some convergence in policies adopted across countries to improve financing incentives and encourage efficient use of health services. In the case of risk pooling, all countries with competing pools experience similar difficulties with selection and are adopting more sophisticated forms of risk adjustment. In the case of hospital competition, the key drivers of success appear to be what is competed on and measurable, rather than whether the system is public or private. In the case of both the success of performance-related pay for providers and issues resulting from wait times, evidence differs within and across jurisdictions. However, the evidence does suggest that some governments have effectively reduced wait times when they have chosen explicitly to focus on achieving this goal. Many countries are exploring new ways of generating revenues for health care to enable them to cope with significant cost growth, but there is little evidence to suggest that collection mechanisms alone are effective in managing the cost or quality of care. (JEL H51, I11, I18)

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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