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Code and Data Repository for The WealthLine—Examining the Effect of the HealthLine Bus Rapid Transit on Resident Employment

The WealthLine—Examining the Effect of the HealthLine Bus Rapid Transit on Resident Employment was presented as a working paper at the Federal Reserve Bank of Cleveland on April 19th, 2024 as part of the Economic Scholars Program.

John Cullen Nagura McCormick

Department of Computer and Data Sciences, Case Western Reserve University
Department of Economics, Case Western Reserve University

Senior Capstone partner: Dominic Barredo

Department of Economics, Case Western Reserve University

All data processing is done in Python using the following libraries:

  • numpy
  • pandas
  • geopandas

Geographic definitions for the Healthline:

Geographic definitions was gathered by hand. The HealthLine definition LEHD_data/Healthline.kml and/or LEHD_data/Healthline.geojson were manually made.

HealthLine definition, and area data was then compiled using the open source GIS software QGIS

The log of actions to make the 800m buffer can be found in QGIS_history.log

Difference-in-Differences and Triple DiD Regressions:

Regressions can be found in stataRegressions.do

For this project I elected to use the Two-Way Fixed Effects Difference-in-Differences Model (TWFE) to control for differences between tracts and across years. Triple DiD was used to look at interactions of race, and education level with employment effects as a result of the implementation of the HealthLine BRT.

reghdfe was the primary regression command (it allowed for more accurate $R^2$ reporting when running TWFE models.