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Record W154490092

Explaining the U.S. Income Tax Compliance Continuum

2005· article· en· W154490092 on OpenAlexaff
Brian Erard, Chih-Chin Ho

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsIncentiveCompliance (psychology)Income taxState income taxAssociation (psychology)BusinessPublic economicsDemographic economicsGross incomeLabour economicsEconomicsTax reformPsychologyMicroeconomicsSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Within an economy, tax compliance behavior falls along a continuum. At one extreme are households who fully report and pay their tax obligations despite any opportunities or incentives to cheat. At the other extreme are households who undertake considerable efforts to conceal their income and repudiate their tax responsibilities. Using a micro-simulation database, we undertake a preliminary statistical analysis of why 34 distinct occupational groups in the U.S. differ in their location along the compliance continuum. We find that compliance across occupations has a strong positive association with the share of income subject to third party information reporting and a strong negative association with the burden of preparing and filing a return.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.032
GPT teacher head0.243
Teacher spread0.210 · 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 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

Citations5
Published2005
Admission routes1
Has abstractyes

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