lulu9661/Malawi_Education_Analysis

Data & Scripts for exclusion-focussed analysis of Education Inequality in Malawi. Produced for UNICEF Innocenti # Exclusion from Education in Malawi Exploratory analysis of learning poverty and out-of-school children in Malawi using MICS 6 and IHS 5 survey data. ## :ledger: Table of Contents - Overview - Data Sources - Repository Structure - Requirements - How to Reproduce the Analysis - Key Outputs - License - AI disclosure ## Overview This analysis examines two dimensions of educational exclusion in Malawi: 1. **Out-of-school children** — Which children are not attending school, and what factors predict non-attendance? 2. **Foundational learning** — Among children in school, who is failing to acquire basic reading skills? ## :file_folder: Data Sources | Dataset | Description | Source | |---------|-------------|--------| | MICS 6 | Multiple Indicator Cluster Survey (2019-20) — child development, education, foundational learning assessments | UNICEF MICS | | IHS 5 | Integrated Household Survey (2019-20) — household socioeconomic data, education module | World Bank Microdata | **Note:** Raw data files are included as zipped archives in `data/raw/`. Users must unzip these before running the analysis. ## :paperclip: Repository Structure ``` ├── data/ │ ├── raw/ # Original survey data (zipped) │ │ ├── IHS_5.zip │ │ ├── MICS_6.zip │ │ └── MICS_6_GPS.zip │ ├── processed/ # Cleaned analysis-ready datasets │ │ ├── mics_children.csv │ │ ├── mics_individuals.csv │ │ ├── mics_skills_geo.csv │ │ ├── ihs_education.csv │ │ ├── ihs_households.csv │ │ ├── oosr_data.csv │ │ ├── reading_data.csv │ │ ├── mics_clusters.geojson │ │ ├── district_boundaries.geojson │ │ └── survey_boundaries.geojson │ └── downloads/ # Temporary download folder (not tracked) │ ├── scripts/ │ ├── 01_data_preparation.R # Load raw data, clean, merge, export │ ├── 02_analysis.R # Descriptive stats and regression models │ └── 03_outputs.R # Generate figures, maps, and tables │ ├── outputs/ …