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Record W3012762147 · doi:10.1111/1911-3846.12601

Does Public Country‐by‐Country Reporting Deter Tax Avoidance and Income Shifting? Evidence from the European Banking Industry*

2020· article· en· W3012762147 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueContemporary Accounting Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransparency (behavior)Tax avoidanceEuropean unionBusinessTax havenAccountingPublicationParliamentInternational economicsEconomic policyIncome taxFinancial systemEconomicsDouble taxationPublic economicsFinancePolitical sciencePolitics

Abstract

fetched live from OpenAlex

ABSTRACT In this study, we examine the effect of increased tax transparency on the tax planning behavior of European banks. In 2014, the European Union introduced public country‐by‐country reporting requirements to the banking industry. Treating this new requirement as an exogenous shock, we find limited evidence consistent with a decline in income shifting by the banks' financial affiliates in the post‐adoption period (starting from 2015). We do not, however, find robust evidence of a significant change in the consolidated book effective tax rates among the affected banks. Our findings suggest that increased transparency from public country‐by‐country reporting can deter tax‐motivated income shifting but that it did not appear to materially influence the banks' overall tax avoidance. Our findings have policy implications for the ongoing debate between the European Parliament, the Organisation for Economic Co‐operation and Development, and accounting standard‐setting bodies on whether to require multinationals to publish country‐by‐country reports.

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)0.011
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0000.002
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 head0.121
GPT teacher head0.309
Teacher spread0.188 · 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