The Community Explorer How to Inform Effectively Policy on U.S. Diversity with County Level Data

Claude Lopez, Hyeongyul Roh and Maggie Switek

MPRA Paper from University Library of Munich, Germany

Abstract: The Community Explorer provides novel insightintoon the different characteristics of the U.S. population that can be used in policy design and impact assessment. More broadly, it increases the understanding of socio-economic gaps and potential markets in the U.S.. More specifically, it synthesizes the information of 751 variables across 3142 counties from the Census Bureau’s American Community Survey using machine learning methods, into 17 communities. Each one of these communities has a distinctive profile that combines demographic, economic, and many other behavior determinants while not being geographically bounded.

Keywords: US diversity; equity; machine learning; clusters; census; county level data; data viz; interactive map (search for similar items in EconPapers)
JEL-codes: C38 R0 R1 Y1 (search for similar items in EconPapers)
Date: 2022-08
New Economics Papers: this item is included in nep-big and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:114020

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