Event Title
Using Python to Wrangle Public Datasets: Researching Property Ownership in Detroit (Panel A)
Location
Room 407, South Hall
Start Date
30-9-2016 10:15 AM
End Date
30-9-2016 11:45 AM
Description
In this paper, I discuss my research on the ownership of residential real estate in Detroit since the onset of the mortgage foreclosure crisis in the mid-2000s. During this time, roughly 70,000 Detroit homes were repossessed by banks and federal housing agencies. I argue the pressures these institutions faced---pressures from Congress, stockholders, and others---and the systems used by these entities for selling properties worsened the effects of the foreclosure crisis and harmed many of Detroit's historically intact middle- and working-class neighborhoods. My research draws on numerous public and proprietary datasets to identify property ownership, real estate transactions, and notices of blight violations and tax delinquency. I discuss how these sources were identified, cleaned, and merged into my larger foreclosure database and the methods I used to analyze these data.
Using Python to Wrangle Public Datasets: Researching Property Ownership in Detroit (Panel A)
Room 407, South Hall
In this paper, I discuss my research on the ownership of residential real estate in Detroit since the onset of the mortgage foreclosure crisis in the mid-2000s. During this time, roughly 70,000 Detroit homes were repossessed by banks and federal housing agencies. I argue the pressures these institutions faced---pressures from Congress, stockholders, and others---and the systems used by these entities for selling properties worsened the effects of the foreclosure crisis and harmed many of Detroit's historically intact middle- and working-class neighborhoods. My research draws on numerous public and proprietary datasets to identify property ownership, real estate transactions, and notices of blight violations and tax delinquency. I discuss how these sources were identified, cleaned, and merged into my larger foreclosure database and the methods I used to analyze these data.