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Record W2053439067 · doi:10.1177/1091142106288392

Analyzing the Interdependence of Regulation and Taxation

2006· article· en· W2053439067 on OpenAlexaff
Walter Hettich, Stanley L. Winer

Bibliographic record

VenuePublic Finance Review · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsCarleton University
Fundersnot available
KeywordsEconomicsContext (archaeology)PoliticsGovernment (linguistics)Production (economics)Public economicsTax policyMicroeconomicsMacroeconomicsTax reform

Abstract

fetched live from OpenAlex

This article draws attention to the interdependence of regulation and taxation. The authors analyze the nature of policy equilibrium, as well as the implications of historically important political and economic shocks, for the joint use of the two policy instruments in a framework that embodies relationships common in the literature. Regulation is represented by barriers to entry created by the government for favored industries. Among the results are the following: the introduction of new methods of communication in politics, such as television advertising, leads to increased taxation of the average voter, lower business tax rates, greater entry barriers in private markets, and greater resource use for campaign advertising, with the marginal cost of the new medium and the elasticity of supply in regulated industries playing crucial roles. Budgetary government size declines. The two additional shocks analyzed, namely, growth in the labor force participation of women and increased offshore production also have substantial consequences for tax rates as well as regulation. The article concludes with a consideration of the efficiency of policy equilibrium and the analytical problems that arise in evaluating efficiency in such a context.

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: none
Teacher disagreement score0.852
Threshold uncertainty score0.273

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 studies0.0000.000
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 head0.033
GPT teacher head0.226
Teacher spread0.193 · 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

Citations8
Published2006
Admission routes1
Has abstractyes

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