MétaCan
Menu
Back to cohort
Record W1557130799

Essays On the Economics of Volunteerism, Charity, and Healthcare

2012· dissertation· en· W1557130799 on OpenAlexaboutno aff
Wei Yang

Bibliographic record

VenueMacSphere (McMaster University) · 2012
Typedissertation
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careHealth economicsEconomicsPublic economicsNeoclassical economicsLaw and economicsPositive economicsEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This thesis studies the impacts of three government policy interventions in Canada on individuals' behaviour and attempts to bound structural coefficients implied by economics theories using the estimated treatment effects. While the last chapter is on the healthcare market, the first three chapters focus on individuals' charitable behaviour, especially volunteer behaviour. A compulsory volunteer policy in Ontario is investigated from theoretical and empirical perspectives in chapters one and two respectively. In a theoretical overlapping generation model with social capital accumulation, we find that such a policy likely increases total public good provision and the social capital level. However, whether it increases long-run volunteering by those no longer subject to the policy depends crucially on the size of a public good demand elasticity. Chapter two empirically examines the impact of a “compulsory volunteerism” policy for adolescents on subsequent behaviour in Ontario, which mandates 40-hours of community service for high school students as a requirement for graduation. We estimate that: 1) the compulsory volunteer policy increased volunteer participation during high school; 2) those affected by the policy likely volunteered less than they otherwise would have after high school completion; 3) young people in Ontario who were not directly affected by the policy volunteered less after its introduction. The third chapter examines the impact of tax policy changes on individuals' volunteer behaviour and attempts to analyze the relationship between donations of time and money. We develop a model where individuals are heterogeneous in their labour market and volunteer productivities, and in their tastes, which shows that positive cross sectional correlation between donations of money and time may occur because of individual-specific effects even though each individual would regard such donations as substitutes. Exploiting the exogenous variation in the tax price introduced by a series of tax policy changes in Canada, we find that individuals make more time donations as the tax price of charitable donations increases, which casts doubt on earlier findings in cross sectional data that monetary and time donations are complements and suggests that they may be substitutes as most theories would imply. The last chapter exploits changes in Canadian public health insurers' reimbursement schedules regarding chiropractic services to identify the impacts of subsidies for providers and patients. Over the past two decades, fiscal pressures have seen these services partly or completely “delisted” from public health insurance programs. Despite a large sample of individuals, there are challenges for inference in this situation where the source of exogenous variation derives from a small number of jurisdiction-level policy changes. To address them, we employ aggregation, a wild cluster bootstrap that provides asymptotic refinement, and other approaches. The results show appreciable decreases in providers’ incomes and in utilization with the latter concentrated among low and middle income patients. But, chiropractors also augment their labour supply, perhaps increasing administration, marketing/promotion, or time per patient visit.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0350.000

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 head0.043
GPT teacher head0.321
Teacher spread0.278 · 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
GenreOther

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

Explore more

Same venueMacSphere (McMaster University)Same topicGlobal Health Care IssuesFrench-language works237,207