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Record W4410724299 · doi:10.1080/15140326.2025.2509207

Financial inclusion strategies for slum households: insights from a conjoint analysis

2025· article· en· W4410724299 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

VenueJournal of Applied Economics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersJapan Society for the Promotion of Science
KeywordsEconomicsFinancial inclusionSlumInclusion (mineral)Conjoint analysisMicroeconomicsEconometricsFinancial servicesFinanceSociologyPreference

Abstract

fetched live from OpenAlex

Slum dwellers continue to face exclusion from mainstream social, economic, and financial activities because of their lack of education and low income, leaving them vulnerable to income shocks and persistent poverty. The absence of empowerment compounds challenges and highlights the urgent need to address their financial inclusion. Designing an inclusive deposit product is imperative to ensure the financial inclusion of slum dwellers. We conducted a randomized conjoint experiment gathering 2500 choice responses from 250 respondents in slum households in Khulna, an industrial city in Bangladesh. Our study estimates the influence of each attribute on slum dwellers’ choice of deposit products, measures willingness to pay for the proposed inclusive deposit product, identifies heterogeneity in their preferences, and examines the impact of financial literacy on their preferences. Our hypothetical financial inclusion product provides valuable insights for policymakers when formulating comprehensive policies to ensure the financial inclusion of slum dwellers.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.377

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 studies0.0000.000
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 head0.019
GPT teacher head0.256
Teacher spread0.237 · 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