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Record W2337175349

Elder poverty in an ageing world: Conditions of social vulnerability and low income for women in rich and middle-income nations

2008· preprint· en· W2337175349 on OpenAlexaboutno aff
Timothy M. Smeeding, Qin Gao, Peter Saunders, Coady Wing

Bibliographic record

VenueEconstor (Econstor) · 2008
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyVulnerability (computing)EarningsEconomicsPopulationDemographic economicsSocial securityPopulation ageingSafety netDevelopment economicsLabour economicsEconomic growthPolitical scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

Social vulnerability for older persons, especially older women, due to insufficient income in retirement and earlier in life and low market earnings may be attributable to many sources, both demographic and economic, in our globalizing world. This paper examines the problems of population ageing, low incomes, and social spending on the elderly in comparative perspective, with a focus on older women in several rich and middle-income nations. We examine the United States, Canada, and a set of European nations using the LIS (Luxembourg Income Study) database, and three middle-income nations, focusing on Taiwan, China, and Mexico, around the turn of the century. In particular, we address what happens to older women as they outlive their husbands and have fewer claims on pensions and retirement wealth and maintain fewer productive capacities in the paid labor force. Issues that arise include the implications of policies relating to taxation, social spending, and transfers, as well as - of course - gender differentials in labor force participation, lifetime savings, and pre- and post-retirement incomes. Many older women, especially those in middle-income countries, also often share living arrangements with their adult children. We assess the net effects of existing policies on poverty and low income and wealth. While best practices may be identified, each nation must create its own set of mutually supportive policies that provide protection against global economic forces while at the same time encouraging self-reliance and efficient behavior, especially in the savings market. We conclude that policy can make a difference in outcomes, as shown for instance by the low cost but highly target effective Canadian efforts in fighting elder poverty, and by the Australian superannuation retirement income system. However, the developing economies of Mexico, China, and even Taiwan evolve from a tradition that does not yet support Western-style social insurance programs. In these nations, intergenerational co-residence is liable to be the key feature of antipoverty policy for elders in the coming decades.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
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 head0.022
GPT teacher head0.300
Teacher spread0.278 · 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 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

Citations14
Published2008
Admission routes1
Has abstractyes

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