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Record W2524257950 · doi:10.1177/138826271001200201

The Flip Side of the Coin: The Consequences of the European Budgetary Projections on the Adequacy of Social Security Pensions

2010· article· en· W2524257950 on OpenAlexaff
Gijs Dekkers, Hermann Buslei, Maria Cozzolino, Raphaël Desmet, Johannes Geyer, Dirk Hofmann, Michele Raitano, Viktor Steiner, Paola Tanda, Simone Tedeschi, Frédéric Verschueren

Bibliographic record

VenueEuropean Journal of Social Security · 2010
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsPensionSocial securitySafeguardingSustainabilityEconomicsRetirement agePublic economicsDistribution (mathematics)Demographic economicsActuarial scienceBusinessFinance

Abstract

fetched live from OpenAlex

The Ageing Working Group (AWG) assesses the long-term sustainability of public finances by presenting a set of public expenditure projections for all Member States, including projections on pensions. These projections are based on demographic forecasts and agreed assumptions on key economic variables. The adequacy and sustainability of pensions are, however, two sides of the same coin and a full assessment of pensions therefore requires integration. This paper applies the dynamic micro-simulation model MIDAS to assess the consequences of the AWG projections and assumptions on the future adequacy of public pensions in Belgium, Germany and Italy. A comparison of the simulation results suggests that the impact of the parametric pension reform in Belgium and Germany and the systemic reform in Italy on (re) distribution and the risk of low-income go in the same direction, but that the magnitudes differ. Indeed, the impact is stronger in Italy than in Belgium and Germany. In the latter especially, important changes safeguarding the sustainability of the pension system seem to have had a relatively small impact on the risk of low-income among pension benefit recipients in particular.

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)0.012
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0060.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.004
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 head0.044
GPT teacher head0.371
Teacher spread0.327 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2010
Admission routes1
Has abstractyes

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