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Record W2291819374

Are equalization payments making Canadians better off? A two-dimensional dominance answer

2012· preprint· en· W2291819374 on OpenAlexaboutno aff
Benoît Tarroux

Bibliographic record

VenueRePEc: Research Papers in Economics · 2012
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsEqualization (audio)NormativeDominance (genetics)Transfer paymentEconomicsPublic economicsDistribution (mathematics)PaymentGovernment (linguistics)Public goodMicroeconomicsComputer scienceFinanceTelecommunicationsPolitical scienceChannel (broadcasting)MathematicsWelfareLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper provides a normative appraisal of the Canadian equalization transfers system. For that sake, the two-dimensional dominance criteria introduced by Atkinson and Bourguignon(RES, 1982) are used to compare the distributions of private and public good before and after equalization payments. As the distribution before equalization is not observable, one simulates it on the basis of various scenarios which specify both its financing by the federal government and its utilization by provincial governments. The results show that Canadian equalization payments never improve social welfare for all utilitarian social planners who believe that household convert public and private goods into well-being by a utility function belonging to the classes that corresponds to the Atkinson and Bourguignon criteria. A further parametric restriction on the class of utility functions however enables to get more precise results.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.429
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.047
GPT teacher head0.302
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2012
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicCorporate Taxation and AvoidanceFrench-language works237,207