This is just a document that explains how I built the panel data that I then used to run a fixed effects regression and how to interpret the results from my regression table.

This document has compiled all of the graphs that observe the share of symptoms that follow some variation of precursor subdivision. The timeframe that was used in these particular visualizations is 6 months in that symptoms were counted as a follower of a precursor if they followed that precursor within 6 months excluding the same month that the precursor occured in. Each of these graphs are additionally disaggregated by regime type, democracy or autocracy, in order to better understand how these regime types effect our observations.

Why did the Boomer–GenZ ownership gap (ages 25–35) widen?

How affordability translates to ownership and cost-burden across race and generation

Cleaning → FAI construction → cohort-by-FAI logit

Economic Hardship in Arizona Maricopa County, Arizona Analytics Dashboard PAF 516 Final Project Bridget Slocum

este es mi proy final