Global Findex Financial Inclusion Analysis

Task Overview

This project analyzes microdata from 2021 to explore financial inclusion trends.

Perform the following tasks in RStudio:

  • Operationalization and data preparation
  • Descriptive statistics
    • Bar plot
    • Scatter plot
  • Inferential statistics
    • OLS linear regression

Data source

The Micro-Dataset and related resources come from:

The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19

https://www.worldbank.org/en/publication/globalfindex

The Macro data (country-level) comes from the World Bank Development Indicators

https://databank.worldbank.org/reports.aspx?source=2&country=ARE

Results

Both GDP_PPP and Life_expectancy are highly significant predictors of percent_with_account, with p-values < 2e-16.

The model explains about 43.1% of the variation in account ownership across countries (R-squared = 0.4314).

The coefficients suggest that higher GDP_PPP and longer life expectancy are associated with increased account ownership.

How to use

Open the R project file in RStudio and run the scripts.

📄 View R script on GitHub

Address

Ostendstraße
Berlin, Berlin 12459
Germany