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Record W2145885169 · doi:10.1177/0020731415586407

A Critique of Grossman’s Canonical Model of Health Capital

2015· article· en· W2145885169 on OpenAlexaff
Ardeshir Sepehri

Bibliographic record

VenueInternational Journal of Health Services · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGrossmanHealth careEconomicsHealth belief modelHealth equityInformation asymmetrySociology of health and illnessHealth policyPublic economicsHealth educationMicroeconomicsEconomic growth

Abstract

fetched live from OpenAlex

In the health economics literature, the demand for health and market health inputs is dominated by adaptations of Grossman's health capital model. The model has been widely used to explore a wide range of issues related to health, socioeconomic inequalities in health, demand for medical care, health preventions, occupational choice, and retirement decisions. The commodity of health is viewed as a durable capital stock that yields a flow of healthy time or illness-free time, that depreciates with age, and that can be augmented with the help of market health inputs and own time. The purpose of this article is to provide a comprehensive critical review of the model. Underlying Grossman's model are a faulty conceptual framework and assumptions that tend to exaggerate the degree of control consumers/patients may have over their state of health and survival. The assumption of full information about one's state of health and the efficacy of various health inputs abstracts away from the problems posed by the agency relationship under uncertainty and informational asymmetry. Grossman's individualistic and mechanistic view of health strips health capital and its production of much of their biological/physiological content and their interactions with the individual's social and physical environment.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.105
GPT teacher head0.513
Teacher spread0.408 · 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 designQualitative
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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