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Record W1655479120 · doi:10.1108/ijse-10-2014-0204

Social trust and use of banking services across households in 28 transitional countries

2016· article· en· W1655479120 on OpenAlexaff
Elvin Afandi, Nazim Habibov

Bibliographic record

VenueInternational Journal of Social Economics · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsOriginalityEnforcementBusinessOrdered probitProbit modelEconometric modelRetail bankingProbitValue (mathematics)Developing countryPublic economicsDemographic economicsEconomicsEconomic growthFinanceEconometricsPolitical science

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to use survey data from a sample of 29,000 households from 28 transitional countries and Turkey to address two main questions: first, is there any effect of social trust on the use of banking services; and second, what are the household-level and country-specific determinants of using banking services in transitional countries. Design/methodology/approach – The authors use binary probit models, instrumental variables methods and various econometric specifications to test the hypothesis. Findings – The authors found that the higher level of trust in people predicts a greater level in use of banking services by households regardless of the model specifications and econometric adjustments employed. This association appears to be more prominent among less educated respondents and in countries with low levels of legal enforcement. The results also suggest that location, income and wealth of households, along with country income level, legal enforcement and inflation rates strongly affect the decisions made by households regarding their use of banking services. In contrast, the authors found either a very small or non-significant impact with regard to bank ownership structure on the use of banking services across households. Originality/value – To the best of the knowledge this is the first study which specifically focusses on social trust and the usage of formal banking services across a large set of transitional countries.

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)0.000
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 score0.418
Threshold uncertainty score0.294

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 communication0.0000.002
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 head0.017
GPT teacher head0.247
Teacher spread0.229 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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