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Record W3139744934

The Canada Pension Plan: Looking Back at the Recent Reforms

2001· article· en· W3139744934 on OpenAlexaboutno aff
James E. Pesando

Bibliographic record

VenueRePEc: Research Papers in Economics · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMandatePensionRate of returnEconomicsEquity (law)Intergenerational equityOrder (exchange)Inflation (cosmology)FinancePolitical scienceSustainability
DOInot available

Abstract

fetched live from OpenAlex

James E. Pesando looks at the 1998 package of reforms to the Canada Pension Plan (CPP) that the federal government and the provinces implemented after extensive consultation. Most significantly, these reforms included: a sharp increase in the combined employer-employee contribution rate, from 5.85 per cent in 1997 to the steady-state rate of 9.9 per cent in the year 2003 and beyond, which will result in a much larger reserve fund — estimated to rise to about five years’ worth of benefits; and the establishment of an independent, trusteed CPP Investment Board with a mandate to invest in marketable securities, including equities, in order to obtain a higher rate of return on the enlarged CPP reserve fund. The benefit reductions in the 1998 package were relatively modest. Pesando argues that the case for the 1998 CPP reform was made entirely in terms of intergenerational equity. Surprisingly, efficiency arguments played virtually no role in the debate. Pesando questions whether the actuarial assumptions with respect to inflation and rates of return that underlie the reforms are overly optimistic and whether additional increases in premiums or reductions in benefits will be required. In his view, the next round of debate on the reform of public pension programs is already under-way in other countries like the United States. He expects that the issue will soon resurface in Canada and that policy options like benefit reductions, raising the retirement age, and partial privatization of benefits, which were dismissed in the last round, will once again be on the table.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.195
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0110.005
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.034
GPT teacher head0.307
Teacher spread0.273 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2001
Admission routes1
Has abstractyes

Explore more

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