criminal-candidates-economic-growth

This notebook:

Analyzes empirical links b/w electing criminal politicians & constituency-level economic growth

Visualizes and summarises the data on electoral declarations & Lok Sabha results from 2004 to 2019.

Comes with code in Python with implementations for Plotly, NumPy, Pandas, TimeSeries, and Regression Discontinuity. Methods for treatment-identification and the Regression Discontinuity setup were adopted from Prakash et al. 2019, Journal of Development Economics. An ECON 323 Capstone Project and graded 100/100.

TODO:

• Visualize data using maps and satelite nighlight density boundary-estimates.
• Integrate QuantEcon.py and massage-in ML/AI approaches.
• Add in FE into the model(s) & review features and parameters.