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Record W2121345918

Income Tax and Top Incomes over the Twentieth Century

2004· article· es· W2121345918 on OpenAlex

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

VenueOxford University Research Archive (ORA) (University of Oxford) · 2004
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsDistribution (mathematics)Income distributionGross incomeIncome taxTax incidencePersonal incomeInternational taxationIncome sharesComprehensive incomePublic economicsState income taxDemographic economicsLabour economicsMacroeconomicsTax reformInequality
DOInot available

Abstract

fetched live from OpenAlex

The first section of the paper gives a stylised account of the development of the UK income tax structure over the past 200 years, and refers to recent changes in other OECD countries. The second section turns to the distribution of income and summarises the evidence about the top of the income distribution that can be derived from the income tax data. The main results relate to the UK, but comparisons are made with similar evidence for Canada, France, the Netherlands, and the US. The third part of the paper considers the explanation of the observed changes in the distribution and the impact of progressive income taxation. How far are changes in income shares a reflection of the re-arrangement of income? How far are they associated with changes in the composition of top incomes? Conclusions about distributional incidence have to be based on modelling the determination of the personal income distribution, but such modelling is not typically treated in public finance textbooks. The fourth section of the paper considers how the analysis of distributional incidence can be developed, paying specific attention to the explanation of the upper tail of the distribution.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.238
Teacher spread0.217 · 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