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Record W3037475235 · doi:10.5539/ibr.v13n7p113

Parental Education, Household Health, and Household Standard of Living: Evidence from Rural Cameroon

2020· article· en· W3037475235 on OpenAlexvenueno aff
Issidor Noumba, Quentin Lebrun Nzouessah Feunke

Bibliographic record

VenueInternational Business Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsHousehold incomeSalientUnitary stateEstimationStandard of livingSurvey data collectionDemographic economicsSocioeconomicsEconomic growthPublic economicsGeographyPolitical scienceStatistics

Abstract

fetched live from OpenAlex

Recent data shows that social and economic conditions of rural dwellers are worsening in Cameroon. This paper estimates the link between parental education and household economic wellbeing (ECW). It also relates household health to household ECW, jointly education and health to ECW. Data employed are from a national survey conducted by the National Institute of Statistics in 2011. The unitary household economic model is the theoretical foundation. Empirical models specified are estimated using different methods. OLS is employed to estimate the link between education and ECW. One result on which the paper insists is obtained from a non-linear control function specification. Two salient results are highlighted. i) Education appears to be a significant determinant of household health. ii) Education and health are not perfect substitutes in the household utility function. These findings could guide policymakers in search for effective health and education programs aimed at improving rural economic wellbeing.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.076
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.116
GPT teacher head0.400
Teacher spread0.284 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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