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Record W4241334353 · doi:10.3138/cpp.35.4.389

Taxes, Transfers, and Canadian Income Inequality

2009· article· en· W4241334353 on OpenAlexaffvenueabout
Marc Frenette, David A. Green, Kevin Milligan

Bibliographic record

VenueCanadian Public Policy · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of British ColumbiaStatistics Canada
Fundersnot available
KeywordsEconomicsUndoingLabour economicsTransfer paymentInequalityGross incomeIncome distributionEconomic inequalityState income taxIncome taxIncome inequality metricsTax reformPublic economicsMarket economy

Abstract

fetched live from OpenAlex

In this paper, we investigate the relationship between the substantial changes in tax and transfer programs and the movements in after-tax income inequality over the 1980s and 1990s. We show that in the 1980s, tax and transfer programs became more redistributive, offsetting substantial increases in market income inequality. In the 1990s, the tax and transfer system stopped undoing the increases in market income inequality, leading after-tax income inequality to rise. Even so, tax and transfer programs were more redistributive in 2000 than in the 1980s. Much of the changes occurred at the provincial level, with social assistance payments first increasing (in the late 1980s) then decreasing (in the late 1990s) and with surtaxes on high-income earners being first imposed and subsequently removed.

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)0.001
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 score0.881
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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 designTheoretical or conceptual
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

Citations40
Published2009
Admission routes3
Has abstractyes

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