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Record W4234419079 · doi:10.22215/etd/2014-10244

Merchant Payment Steering: Evidence From the 2009 Bank of Canada Methods of Payment Survey

2014· dissertation· en· W4234419079 on OpenAlexaffabout
Angelika Welte

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicDigital Platforms and Economics
Canadian institutionsCarleton University
Fundersnot available
KeywordsPaymentBusinessCashCompetition (biology)Transaction costDatabase transactionCommerceCredit cardDebit cardFinanceActuarial scienceComputer science

Abstract

fetched live from OpenAlex

Many retailers in Canada have noted the increasing burden of transaction costs, in particular the interchange fees due for every credit card transaction that they process.After the Competition Tribunal rejected in 2012 an application that might have granted retailers the right to surcharge credit cards, retailers may look for other solutions to avoid these fees.Discounting cash or debit card transactions has often been suggested as one solution since discounts are currently allowed in Canada.The model of merchant cost incorporates the consumers' choice based on the pecuniary and non-pecuniary benefits of using cash, debit and credit cards.I estimate the choice model using data from the Bank of Canada's 2009 Methods of Payment Survey.Dr. Konstantinos Metaxoglou and Dr. Yanling Wang generously gave their time to sit on my committee.Their comments and suggestions helped me improve the thesis significantly.

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)0.032
metaresearch head score (Gemma)0.110
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.110
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.022
Science and technology studies0.0060.003
Scholarly communication0.0060.002
Open science0.0040.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.046
GPT teacher head0.270
Teacher spread0.223 · 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 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

Citations1
Published2014
Admission routes2
Has abstractyes

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