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Record W2740766566

The Knowledge Deficit about Taxes: Who It Affects and What to Do About It

2017· article· en· W2740766566 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublic economicsBusinessTax creditFinancial literacyTax reformInefficiencyTax avoidanceIndirect taxEconomicsLabour economicsFinanceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Tax professionals argue that the tax system is too complex for ordinary taxpayers and that this sometimes makes their work for clients more educational than strategic. Tax complexity is not only a headache for these professionals but also a source of inefficiency and unfairness in our tax system as not every citizen understands it to the same degree. We use the tax system to support our retirement, education and poverty-reduction public programs. Failures of the tax system affect these programs as well. Weak understanding of taxes has also been shown to lower the level of trust of citizens in the tax system. This lower level of trust can translate into higher rates of tax evasion or avoidance, raising the cost of taxation for everyone. Canada has experience assessing the financial literacy of its citizens and is developing policies to raise it. This issue is considered strategic as financial tools and markets become more and more complicated and our population is aging. The tax system is a financial tool that citizens must know how to use as much as mortgages or pension funds are. Drawing from the research on financial literacy, we aim to develop a method to measure “tax literacy.” We evaluate, with the use of a survey administered by the polling firm Crop to Quebec citizens, the knowledge and skills of citizens concerning fiscal matters, understood broadly to include direct and indirect taxation as well as social transfers. Age, education and income are associated with higher knowledge of these matters, but not gender or being self-employed. Higher tax literacy is associated with a higher propensity for taxpayers to produce their tax return themselves rather than with the help of a professional. It also appears that women tend to underestimate their understanding of tax. Tax literacy, and the methods for its measurement, are a new tool to assess the failures of certain policies such as the Children Fitness Tax Credit or the Canada Learning Bond to reach their target audiences. More generally, weak understanding of taxes contributes to lowered trust in our tax system, which underpins our social bonds. Assessing this issue is a first step towards making our tax system fairer and more efficient.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.054
GPT teacher head0.287
Teacher spread0.233 · 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