📅 2023-06-11 — Session: Comprehensive Data Analysis on Infrastructure Investment
🕒 20:30–21:30
🏷️ Labels: Data Analysis, Regression, Infrastructure Investment, Developer Responsibilities, Matching Algorithm
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to conduct a comprehensive data analysis to explore the relationship between infrastructure investment and various socio-economic factors, including violence levels and social stability.
Key Activities
- Clarification of Developer Responsibilities: Finalized the developer’s role in code availability and user empowerment, ensuring future independence in code application.
- Algorithm Quality Control: Implemented diagnostics for a matching algorithm to ensure data quality and covariate balance.
- Data Processing for Conflict and Service Delivery Project: Planned the matching process for data processing, focusing on algorithm design and outcome evaluation.
- Datasets Merge: Outlined the merging of multiple datasets (DHS, Afrobarometer, ACLED, Population) for enhanced analysis related to investment projects and social stability.
- Regression Analysis: Conducted regression analysis to estimate the effect of infrastructure investment using OLS, focusing on treatment effect computation.
- Comprehensive Data Analysis: Performed a series of analyses on merged datasets to explore the relationship between infrastructure investment and violence levels, including regression analysis and robustness checks.
Achievements
- Completed the developer’s role clarification and code availability.
- Successfully implemented diagnostics for algorithm quality control.
- Planned and outlined data processing for conflict and service delivery projects.
- Merged datasets for enhanced analysis of investment projects and social stability.
- Conducted regression analysis to estimate the effects of infrastructure investment.
Pending Tasks
- Further refinement of the matching algorithm and diagnostics.
- Additional robustness checks on regression analysis results.