Welcome to the Applied Data Analysis for Public Policy repository! This repository provides resources, code, datasets, and notes to support learning and applying data analysis techniques in the context of public policy.
This repository focuses on practical data analysis methods and tools that are commonly used in public policy research. The main goals are:
- To teach the methodological foundations of empirical research in public policy.
- To demonstrate how to process, analyze, and visualize real-world data.
- To provide guidance on writing quantitative research papers and presenting findings effectively.
The content is designed for students, researchers, and policymakers with an interest in quantitative approaches to public policy.
- Statistical Software: Practical examples using Stata and other open-source tools as applicable.
- Topics Covered:
- Data Visualization for Public Policy
- Regression Analysis
- Basics of Econometrics for Policy Analysis
- Introduction to Causal Inference and Randomized Controlled Trials (RCTs)
scripts/datasets/: Contains datasets used for exercises and examples.scripts/: Includes all code files for replicating analyses.lectures/: Lecture slides and notes.assignments/: Problem sets and project guidelines.resources/: Additional readings, tutorials, and reference materials.
This course and repository are inspired by the following key texts:
- Mehmetoglu, M., & Jakobsen, T. G. (2022). Applied Statistics Using Stata: A Guide for the Social Sciences.
- Lukáš Laffers (2024). Pravdepodobnosť a štatistika 1 (Open Access).
- Cunningham, S. (2021). Causal Inference: The Mixtape (Chapters 4 & 5).
By engaging with this repository, you will:
- Understand the foundations of statistical research and econometrics in public policy.
- Learn how to analyze and visualize policy-relevant datasets.
- Develop skills for interpreting causal relationships and identifying policy impacts.
- Gain hands-on experience using Stata and other tools for data-driven decision-making.
- Learn how to communicate findings effectively in reports and presentations.
- Familiarity with basic economics and public policy concepts.
- Access to Stata (preferred) or equivalent software.
- Basic knowledge of programming is helpful but not required.
Clone this repository to your local machine:
git clone https://github.com/your-username/applied-data-analysis-public-policy.git