MétaCan
Menu
← Back to cohort
Record W3121553473

Income Repatriation Decision for Multinational Corporations: Tax Issues

2007· article· en· W3121553473 on OpenAlexaff
Anna Dodonova, Yuri Khoroshilov

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRepatriationBusinessMonetary economicsDouble taxationTax creditInternational economicsEconomicsFinancePublic economicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper analyzes the existing asymmetry in the US corporate tax law governing the determination of foreign tax credits earned by US firms with foreign subsidiaries. The existing asymmetry results in the US government de facto holding foreign currency put options against US firms with foreign subsidiaries. Combined with the exchange rate volatility, this tax law asymmetry reduces the effective foreign after-tax rate of return and, thus, makes it profitable for US firms to repatriate their foreign source income earlier even when the foreign after-tax rate of return is higher than the domestic rate. Although this paper identifies this asymmetry in the tax law and analyzes its potential effect on the timing of foreign source income repatriation, it is an open question as to the economic significance of this tax code feature provided the firms’ ability to curry the unused tax credit forward for up to 10 years.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.014
GPT teacher head0.269
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic Journal→Same topicCorporate Taxation and Avoidance→French-language works237,207→