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Record W1495626663

Three essays in health economics: 1. An equilibrium model of waiting lists for medical care. 2. An evaluation of alternative econometric specifications for estimating a tobacco budget share equation. 3. The determinants of expenditures on tobacco in Canada

2000· dissertation· en· W1495626663 on OpenAlex
Michael G. Farnworth

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMacSphere (McMaster University) · 2000
Typedissertation
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsEconometric modelEconomicsHealth economicsEconometricsHealth careStructural equation modelingActuarial scienceMathematicsStatisticsEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This thesis consists of three essays on health economics. Chapter 1 is an introduction. Chapter 2 studies waiting lists for medical care, and Chapters 3 and 4 study the demand for tobacco products. The main contribution of Chapter 2 is a game-theoretic model of waiting times for medical care that provides new insights into how health care waiting times and the number of cases treated may be related. The model demonstrates that charging patients for medical care may not result in decreased waiting times. One policy implication of the model is the potential gains from the sharing of information and co-ordination among health-care providers. Chapters 3 and 4 are on the demand for tobacco products. Estimating the demand for tobacco involves choosing one or more econometric specifications or functional forms. Different econometric specifications can result in conflicting results, raising questions about how to interpret results. A primary objective of Chapter 3 is to identify the similarities and differences between three econometric specifications that have often been applied to tobacco data. A behavioural model is a useful starting point for making these comparisons. In this chapter I compare the results arrived at by applying different specifications to one data set. This data set reports individual's expenditure on tobacco. Chapter 4 examines a data set that reports household expenditure on tobacco. A number of economics papers examine tobacco data from the United States, the United Kingdom and Spain. Chapter 4 examines tobacco data from Canada. One finding indicates that households that do not own their home and consist of one or more unemployed individuals tend to purchase a relatively high amount of tobacco. This information may be of interest to people involved in tobacco policy.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.129
GPT teacher head0.380
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