ADI Capstone: Perceived Fairness and Fertility Intentions in China

Overview

This repository contains the final paper and reproducible analysis for a capstone project examining how perceived fairness relates to fertility intentions among younger cohorts in China using CGSS 2023 data. The analysis follows the structure of the paper and includes multiple imputation, robust OLS models, Poisson robustness checks, and stratified analyses.

Repository Structure

• data/
  • Raw data and codebooks
• notebooks/
  • ADI_Capstone_Analysis.ipynb (single, paper-aligned analysis notebook)
• outputs/
  • Figures and appendix tables generated by the notebook
• paper/
  • Final paper (markdown)
• docs/
  • Supporting methodology and presentation materials

How to Run

1. Open notebooks/ADI_Capstone_Analysis.ipynb in Jupyter.
2. Run all cells top to bottom.
3. Outputs (figures and appendix tables) are saved to outputs/.

Data Notes

• CGSS2023.csv is the raw survey data.
• CGSS2023_Codebook_English.csv is the English codebook.
• Additional CGSS documentation is stored in data/.

Methods Summary

• Sample: CGSS 2023 respondents born in 1980 or later (N = 4,889)
• Missing data: multiple imputation (M = 20) with Rubin's rules pooling
• Main models: OLS with HC3 robust standard errors
• Robustness: Poisson and Negative Binomial models
• Heterogeneity: stratified analyses by gender and urban/rural residence

Citation

If you reference this work, please cite the paper in paper/ADI2025_CapstoneResearch_Sinyu-2.md.