Financial inclusion and multidimensional poverty in Benin

Collective academic project

Applied study · Quarto

Completed group study · FinScope Benin 2018 microdata

The study is complete. Empirical tables and final numerical results are omitted from this public reconstruction until the original analytical source is deliberately reviewed for publication.

Research question. How is financial inclusion associated with multidimensional poverty in Benin, and which socioeconomic characteristics are related to financial inclusion?

1 Overview

This completed academic group study examines the relationship between financial inclusion and multidimensional poverty in Benin using FinScope Benin 2018 microdata, multivariate analysis and binary-choice modelling.

Contribution note. Group project. I carried out most of the analytical implementation and empirical workflow. The study is presented publicly as a collective academic project.

2 Research question

How is financial inclusion associated with multidimensional poverty in Benin, and which socioeconomic characteristics are related to financial inclusion?

The public interpretation is limited to associations. It does not claim causal effects.

3 Data and analytical scope

Field	Public description
Source	FinScope Benin 2018 microdata
Study design	Completed academic group project
Indicator family	Financial inclusion and multidimensional-poverty indicators
Method family	Multivariate analysis, probit or binary-choice modelling, and marginal-effect interpretation where supported by the verified source
Public results	Empirical tables and final numerical estimates omitted pending reconstruction from the original study
Disclosure boundary	No personally identifiable or restricted source data displayed

4 Methodological framework

The analytical family combines construction and analysis of financial-inclusion and multidimensional-poverty indicators, multivariate analysis, and binary-choice modelling. Marginal effects may be interpreted only where supported by the verified original source.

Generic binary-choice structure

$\Pr(Y_i = 1 \mid X_i) = F(\alpha + X_i^{\prime}\beta)$

This equation describes the method family only. It is not a claim about the final specification or results.

5 Reproducible reconstruction

# Review the approved original analytical source
# Document indicator construction and the analysis sample
# Rebuild multivariate and binary-choice procedures
# Verify tables, marginal effects and limitations
# Publish only reviewed outputs

This public page describes the verified study framing. It does not expose raw data, private files or unverified empirical results.

6 Interpretation boundaries

The final reconstruction must distinguish association from causality, document indicator construction and sample restrictions, and publish numerical results only after direct verification against the original study.