https://github.com/kwonnayeon/urban-parks-childrens-happiness
Grad thesis on urban parks’ impact on children’s happiness – data, results, and code
https://github.com/kwonnayeon/urban-parks-childrens-happiness
causal-inference data-analysis environmental-psychology latex matching propensity-score public-health r social-science statistical-analysis thesis-project urban-studies weighting
Last synced: 21 days ago
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Grad thesis on urban parks’ impact on children’s happiness – data, results, and code
- Host: GitHub
- URL: https://github.com/kwonnayeon/urban-parks-childrens-happiness
- Owner: KwonNayeon
- License: other
- Created: 2024-07-28T12:36:24.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-14T22:40:50.000Z (5 months ago)
- Last Synced: 2025-10-12T18:38:57.889Z (22 days ago)
- Topics: causal-inference, data-analysis, environmental-psychology, latex, matching, propensity-score, public-health, r, social-science, statistical-analysis, thesis-project, urban-studies, weighting
- Language: R
- Homepage:
- Size: 8.96 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Causal Effect of Urban Parks on Children's Happiness
## Overview
This repository contains my research thesis investigating the causal relationship between urban park accessibility and children's happiness levels. Using propensity score methods, this study provides empirical evidence for urban planning policies.
## Repository Structure
- `thesis/`: Main thesis document and references
- `data/`: Analysis datasets (not included in the repository)
- `results/`: Output figures and tables
- `code/`: R scripts for analysis
- `award/`: Awards and recognition
## Getting Started
1. Clone the repository:
```bash
git clone https://github.com/KwonNayeon/urban-parks-childrens-happiness.git
```
2. Navigate to the project directory:
```bash
cd urban-parks-childrens-happiness
```
3. **Note:** Data files are not included in this repository.
Please obtain the required datasets from the official sources and place them in the `data/` directory before running the code.
## Dependencies
To run the R scripts and analysis, you need the following R packages:
- `tidyverse` (Includes `dplyr`, `ggplot2`, and other packages)
- `readxl`, `haven` (For data import)
- `CBPS`, `WeightIt`, `MatchIt` (For causal inference)
- `lubridate`, `skimr`, `tableone` (For data processing)
- `survey`, `senstrat`, `MASS` (For statistical analysis)
- `ggdag`, `dagitty` (For plotting Directed Acyclic Graphs)
- `broom`, `scales`, `truncnorm` (For data transformation)
- `ipw`, `cobalt`, `optmatch` (For matching methods)
- `sensitivityfull`, `sensitivitymw` (For sensitivity analysis)
- `lmtest`, `sandwich` (For robust inference)
## License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
See the [LICENSE](./LICENSE) file for details.
## Contact
For questions about the research, please reach out at nayeon.k.datacareer@gmail.com