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Taxation Changes and the Cross-Border Pricing of REITs

2016· article· en· W2337756510 on OpenAlexaffabout
Trevor W. Chamberlain, Hesam Shahriari

Bibliographic record

VenueThe BRC Academy Journal of Business · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReal estate investment trustDividendGovernment (linguistics)Income taxInvestment (military)BusinessEconomicsMonetary economicsEstateDividend taxReal estateFinancePublic economicsTax reformState income taxGross incomePolitical sciencePolitics

Abstract

fetched live from OpenAlex

On November 21, 2005 the Canadian government announced a reduction in the tax on dividends in an effort to neutralize the tax system's bias in favour of income trusts. Eleven months later, on October 31, 2006, a new government changed direction and eliminated the tax deductibility of income trust distributions altogether. Exempted from this change in policy was the real estate investment trust (REIT) sector. 116 The BRC Academy Journal of Business Vol. 6, No. 1 This present study examines the return behaviour of both Canadian and U.S. REITs around the time of these announcements in an effort to inform the ongoing discussion about REIT taxation design in the United States and abroad. Ordinary least squares with dummy variables are used to estimate Canadian REIT returns using a variant of the market model on the event date and the day after. Both equally-weighted and value-weighted portfolios are created in order to check the robustness of the results. In addition, the relationships between Canadian REIT returns and U.S. REIT returns are examined for each event. Test results indicate statistically significant abnormal returns for the Canadian REITs relative to their U.S. counterparts on both dates.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.290
Teacher spread0.270 · 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 designObservational
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
Published2016
Admission routes2
Has abstractyes

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