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Record W4401414522 · doi:10.32721/ctj.2024.72.2.mawani

The Impact of Mandatory RRIF Withdrawals on Seniors' Income Security

2024· article· en· W4401414522 on OpenAlexvenueaboutno aff
Amin Mawani

Bibliographic record

VenueCanadian Tax Journal/Revue fiscale canadienne · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

There has been recent advocacy for raising the age at which Canadians must convert registered retirement savings plans (RRSPs) to registered retirement income funds (RRIFs), and for reducing the annual minimum RRIF withdrawal rates or even eliminating mandatory minimum RRIF withdrawals. This article argues that mandatory RRIF withdrawals starting at age 71 may not be a threat to income security during retirement for most Canadian seniors. Forced RRIF withdrawals do not have to result in any significant dissavings. Given the modest amounts accumulated in RRSPs and RRIFs by most Canadians, the amounts withdrawn each year are likely necessary for consumption and therefore are not likely constrained by the mandatory withdrawal rules. Basic tax-planning strategies such as reinvesting RRIF withdrawals in tax-free savings accounts can further reduce the cost of mandatory withdrawals. In the interest of simplicity and reducing the compliance burden, this article also suggests that RRIF holders with up to $200,000 of accumulated savings (equivalent to the 75th percentile of RRIF balances) should be exempted from mandatory annual withdrawals. While some have argued for complete elimination of mandatory withdrawals, such a measure is not supportable from a tax policy perspective. Indefinite deferral of larger retirement savings balances may allow wealthy Canadians to use those savings for estate-planning purposes and would be a regressive measure. Furthermore, retaining wealth inside tax-deferred accounts while claiming old age security (OAS) because of low income would jeopardize the sustainability of the OAS program. OAS was not designed to withstand eligibility for seniors who are asset-rich but reluctant to draw down retirement assets that were accumulated with tax-deferred savings.

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)0.006
metaresearch head score (Gemma)0.030
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 score0.361
Threshold uncertainty score0.727

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.007
GPT teacher head0.213
Teacher spread0.206 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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