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Record W2258995107 · doi:10.3386/w21939

Social Security and Retirement Programs Around the World: The Capacity to Work at Older Ages – Introduction and Summary

2016· article· en· W2258995107 on OpenAlexaff
Courtney Coile, Kevin Milligan, David A. Wise

Bibliographic record

VenueNational Bureau of Economic Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Aging
KeywordsSocial securityWork (physics)Retirement agePolitical scienceEconomicsDemographic economicsLabour economicsPensionFinanceEngineeringLaw

Abstract

fetched live from OpenAlex

This is the introduction and summary to the seventh phase of an ongoing project on Social Security Programs and Retirement Around the World. The project compares the experiences of a dozen developed countries and uses differences in their retirement program provisions to explore the effect of SS on retirement and related questions. The first three phases of this project document that: 1) incentives for retirement from SS are strongly correlated with labor force participation rates across countries; 2) within countries, workers with stronger incentives to delay retirement are more likely to do so; and 3) changes to SS could have substantial effects on labor force participation and government finances. The fourth volume explores whether higher employment among older persons might increase youth unemployment and finds no link between the two. The fifth and sixth volumes focus on the disability insurance (DI) program, finding that changes in DI participation are more closely linked to DI reforms than to changes in health and that reducing access to DI would raise labor supply. This seventh phase of the project explores whether older people are healthy enough to work longer. We use two main methods to estimate the health capacity to work, asking how much older individuals today could work if they worked as much as those with the same mortality rate in the past or as younger individuals in similar health. Both methods suggest there is significant additional health capacity to work at older ages.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.456
GPT teacher head0.532
Teacher spread0.075 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations8
Published2016
Admission routes1
Has abstractyes

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