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Record W2152088961 · doi:10.34989/sdp-2012-2

Why Is Cash (Still) So Entrenched? Insights from the Bank of Canada’s 2009 Methods-of-Payment Survey

2021· preprint· en· W2152088961 on OpenAlexaffabout
Carlos Arango, Dylan Hogg, Alyssa Lee

Bibliographic record

VenueEconstor (Econstor) · 2021
Typepreprint
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsBank of Canada
Fundersnot available
KeywordsPaymentCashBusinessPayment service providerDirect PaymentsSurvey data collectionActuarial scienceAccountingFinance

Abstract

fetched live from OpenAlex

The authors present key insights from the Bank of Canada’s 2009 Methods-of-Payment survey. In the survey, about 6,800 participants completed a questionnaire with detailed information regarding their personal finances, as well as their use and perceptions of different payment methods. In addition, about 3,500 participants completed a 3-day diary recording information on each transaction, including the value and the payment instrument chosen. One of the main findings from the diaries is that, even though debit and credit cards account for close to 80 per cent of all transactions in terms of total value, cash is still the predominant payment method in terms of volume, accounting for 54 per cent of all transactions. Using the payment records from the diaries, the authors estimate a simple model of choice between cash and other payment methods. The results suggest that the main reasons why cash is still a popular payment instrument in Canada, especially for small-value transactions, are its wide acceptance among merchants, high ease of use or speed, low handling costs, simplicity as a tool to control spending, and anonymity.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.069
GPT teacher head0.346
Teacher spread0.277 · 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.

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

Citations14
Published2021
Admission routes2
Has abstractyes

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