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This report explores the use of Zillow's housing metrics dataset toinvestigate the effects of the 2008 US subprime mortgage crisis on various USlocales. We begin by exploring the causes of the recession and the metricsavailable to us in the dataset. We settle on using the Zillow Home Value Index(ZHVI) because it is seasonally adjusted and able to account for a variety ofinventory factors. Then, we explore three methodologies for quantifyingrecession impact: (a) Principal Components Analysis, (b) Area Under Baseline,and (c) ARIMA modeling and Confidence Intervals. While PCA does not yielduseable results, we ended up with six cities from both AUB and ARIMA analysis,the top 3 "losers" and "gainers" of the 2008 recession, as determined by eachanalysis. This gave us 12 cities in total. Finally, we tested the robustness ofour analysis against three "common knowledge" metrics for the recession:geographic clustering, population trends, and unemployment rate. While we didfind some overlap between the results of our analysis and geographicclustering, there was no positive regression outcome from comparing ourmethodologies to population trends and the unemployment rate.

Quantifying the Effects of the 2008 Recession using the Zillow Dataset