Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy

Publication information:

Robert Groves, Michael Chernew, Piet Daas, Cynthia Dwork, Ophir Frieder, Hosagrahar Jagadish, Frauke Kreuter, Sharon Lohr, James Lynch, Colm O’Muircheartaigh, Trivellore Raghunathan, Roberto Rigobon, and Marc Rotenberg. 2017. “Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy”. National Academies of Sciences, Engineering, and Medicine Paper

Abstract

Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels.