Policy Brief: Predicting Homelessness with Household, Building, and Neighborhood Characteristics

Report by Robert Collinson, Ingrid Ellen, Eileen Johns, Jessica Raithel, Davin Reed, Maryanne Schretzman
December 2015

Furman Center for Real Estate and Urban Policy   (New York)

As part of the the cross-site integrated data systems project, Improving Communities through Integrated Data Systems, the Furman Center for Real Estate and Urban Policy published a policy brief outlining how homelessness can be predicted using household, building, and neighborhood characteristics.

 

 

Publisher Info:

New York: New York University