NSF Census Research Network
The NSF-Census Research Network currently consists of eight nodes, each comprised of researchers conducting innovative, high-disciplinary investigations of theory, methodology and computational tools of interest and significance to the Census Bureau, the federal statistics system and the broader research community.
The eight nodes include Carnegie Mellon University, the University of Colorado at Boulder/University of Tennessee, Cornell University, Duke University/ National Institute of Statistical Sciences (NISS), the University of Michigan, the University of Missouri, the University of Nebraska and Northwestern University.
For more information, consult www.ncrn.info and http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503587
Collections in this community
(2016-05-10)Census costs affect data quality and data quality affects census benefits. Although measuring census data quality is difficult enough ex post, census planning requires it to be done well in advance. The topic of this talk ...
(2016-05-10)Over the past decades, time use researchers have been increasingly interested in analyzing wellbeing in tandem with the use of time (Juster and Stafford, 1985; Krueger et al, 2009). Many methodological issues have arose ...
(2016-05-10)This paper documents work using probabilistic record linkage to create a crosswalk between jobs reported in the Health and Retirement Study (HRS) and the list of workplaces on Census Bureau’s Business Register. Matching ...
(2016-05-09)One of the main objectives of the NCRN award to the University of Nebraska node is to investigate data quality associated with timeline interviewing as conducted with the American Time Use Survey (ATUS) time diary and the ...