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Record W7135475467

Vliv alokačního mechanismus společného konsolidovaného základu daně z příjmu právnických osob na rozpočet České republiky

2020· dissertation· cs· W7135475467 on OpenAlexaboutno aff
Markéta Mlčúchová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2020
Typedissertation
Languagecs
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCzechRedistribution (election)ApportionmentExplanatory powerEuropean unionCorporate taxFormularyRestructuring
DOInot available

Abstract

fetched live from OpenAlex

Mlčúchová, M. The impact of the formulary apportionment of the common consol-idated corporate tax base system on the budget of the Czech Republic. Diploma thesis. Brno: Mendel University, 2020 This diploma thesis deals with the European Commission’s proposal of the Common Consolidated Corporate Tax Base (CCCTB) (COM (2016) 685 final). The key element of the proposal is an allocation formula to calculate a CCCTB for a later redistribution among EU Member States. Furthermore, the diploma thesis analyses and evaluates allocation formulae used in federal economies such as Germany, the United States of America, Canada and Switzerland. The explanatory power of allocation formulae and factors involved are analysed based on the simple and multiple regression models. The impact of the presented models on the budget of the Czech Republic is quantified. Mathematical models based on these allocation formulae - including allocation factors such as labour, sales, and fixed tangible assets - were tested using company data from the Orbis database.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0110.011
Open science0.0020.001
Research integrity0.0020.002
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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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