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<scp>The Effect of Tax Convexity on Corporate Investment Decisions and Tax Burdens</scp>

2006· article· en· W2075689815 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Public Economic Theory · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConvexityEconomicsInvestment (military)Corporate taxMicroeconomicsMonetary economicsTax basisScheduleIndirect taxTax creditDouble taxationTax reformPublic economicsState income taxFinancial economicsTax avoidanceGross income

Abstract

fetched live from OpenAlex

Abstract This paper examines the effect of convexity in the corporate tax schedule on corporate investment decisions and tax burdens. Using a contingent‐claims model, we show that greater tax convexity results in (i) earlier exit, (ii) delayed investment (except for small entry cost), and (iii) reduced corporate risk taking (except for small entry cost and unfavorable operating conditions). Also, the effective tax burden is an increasing function of tax convexity. The convexity of the tax schedule has a nontrivial impact on corporate investment decisions and investment levels. These results are relevant for economic growth, which depends (at least partly) on investment levels, and tax policy makers should be aware of these effects when making adjustments that might impact the convexity of the corporate tax schedule.

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)0.005
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.034
GPT teacher head0.217
Teacher spread0.183 · 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