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Record W4406519156 · doi:10.15353/rea.v16i4.5240

Effects of Parental Encouragement on Their Child’s Academic Performance and Poverty Alleviation

2024· article· en· W4406519156 on OpenAlexvenueno aff
Yui Nakamura

Bibliographic record

VenueReview of Economic Analysis · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPsychosocial Factors Impacting Youth
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyPsychologyDevelopmental psychologyDemographic economicsPolitical scienceEconomic growthEconomics

Abstract

fetched live from OpenAlex

Parental encouragement improves a child’s academic performance, which reflects the individual accumulation of human capital and can prevent the child from becoming poor in the future. We provide a model to clarify the mechanism by which parental encouragement influences the child’s efforts by considering parental time preference, wages, and background. We find that parents who have a child with low innate ability, high wages, strong time preference, and were given little encouragement from their parents in the past hesitate to encourage their child and tend to give them assistance for survival. We also imply that the influence of parental encouragement to children’s academic performance is strong in early grades rather than in late grades. Moreover, we indicate that educational institutes such as schools and local governments can reduce parents’ time preference and provide information about opportunities that stimulate children's efforts at schools. These actions urge the parents who hesitated to encourage their children to begin to encourage them. Furthermore, these actions increase the effectiveness of parental encouragement and realize the child's efforts at school, which results in improving their wages in the labor market in the future.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.321
Teacher spread0.306 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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