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Record W2018032293 · doi:10.1080/00036840600905167

Aggregate consumption function and public social security: the first time-series study for a developing country, Turkey

2008· article· en· W2018032293 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Economics · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsEconomicsConsumption (sociology)Consumption functionSeries (stratigraphy)Aggregate (composite)Time seriesFunction (biology)EconometricsSocial securityMacroeconomicsPublic economicsDevelopment economicsProduction (economics)Market economySociologyStatisticsSocial scienceMathematics

Abstract

fetched live from OpenAlex

This article is the first attempt in the literature to investigate the effects of public social security on aggregate consumption in a time-series setting for a developing country, Turkey that has one of the most generous social security systems in the organization for economic cooperation and development (OECD) region. In order to quantify the social security variable, this article uses the social security wealth (SSW) series calculated for Turkey in a separate study. This study indicates that SSW is the largest part of the household wealth in Turkey, and therefore should not be ignored in the aggregate consumption studies. The results show that its effect on consumption is positive and robust.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.201
Teacher spread0.179 · 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