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Record W2126817720

The role of other economically active household members in poverty alleviation

2004· preprint· en· W2126817720 on OpenAlexfundno aff
Ma. Chelo V Manlagnit

Bibliographic record

VenueEconstor (Econstor) · 2004
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsHousehold incomePovertyEconomicsEarningsDemographic economicsProxy (statistics)Labour economicsEconomic growthGeography
DOInot available

Abstract

fetched live from OpenAlex

This paper extends the analysis on microfinance and poverty from the household perspective by focusing on the role of other economically active household members in alleviating household poverty. Results show that additional other economically active household members expand the pool of income earners in the households and this points to the significance of mobilizing additional household labor in the reduction of dependence on a single source of income in the household. Specifically, results from the earnings regression analysis and logit analysis indicate congruence with generally accepted theory on poverty, that is, the number of other economically active household members, their education, age (as proxy to experience) and employment status contribute to the income generation of a household and therefore, have a positive effect in reducing the probability of a household being poor. This implies that a household is more likely to be nonpoor if it has a greater number of other economically active household members because the effects of these explanatory variables to the households’ total income are interpreted as having the opposite effects on poverty.

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 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 score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.210
Teacher spread0.192 · 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

Citations4
Published2004
Admission routes1
Has abstractyes

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