Overview:
To explore the influence of broadband access on rural property values, this project evaluates the quality of CoreLogic property data, which is aggregated commercial and residential property data based on county tax assessments and property deeds. We are comparing American Community Survey estimates to CoreLogic counts and estimates for relevant housing variables. Property-level comparisons at the national level would not be possible without access to the underlying local data. We additionally focus on two Virginia counties for which we have local property-level data, Fairfax County and New Kent County, as case studies for additional data quality evaluations. This project will enable the Social and Decision Analytics team and other CoreLogic data users to learn about the strengths and limitations of CoreLogic data.
Teaser Video:
Research Project Webpage:
Click here to access the dashboard, and here to access the dashboard code.
Fellows:
Maddie Pickens
Georgetown University, Data Science for Public Policy
Interns:
Morgan Klutzke
Indiana University, Psychology and Cognitive Science
Vatsala Ramanan
Smith College, Quantitative Economics
Mentors:
Stephanie Shipp
Deputy Division Director and Research Professor (Project Lead), Biocomplexity Institute, University of Virginia
Devika Mahoney-Nair
Research Scientist, Biocomplexity Institute, University of Virginia
Neil Alexander Kattampallil
Research Scientist, Biocomplexity Institute, University of Virginia
Josh Goldstein
Associate Research Professor, Biocomplexity Institute, University of Virginia
Aaron Schroeder
Associate Research Professor, Biocomplexity Institute, University of Virginia
Stakeholder:
John Pender
Economist, USDA Economic Research Service, Rural Liaison, Rural Economy Branch