Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the U.S. Statistical System?
January 2017
Working Paper Number:
CES-17-59R
Abstract
The National Science Foundation-Census Bureau Research Network (NCRN) was established in 2011 to create interdisciplinary research nodes on methodological questions of interest and significance to the broader research community and to the Federal Statistical System (FSS), particularly the Census Bureau. The activities to date have covered both fundamental and applied statistical research and have focused at least in part on the training of current and future generations of researchers in skills of relevance to surveys and alternative measurement of economic units, households, and persons. This paper discusses some of the key research findings of the eight nodes, organized into six topics: (1) Improving census and survey data collection methods; (2) Using alternative sources of data; (3) Protecting privacy and confidentiality by improving disclosure avoidance; (4) Using spatial and spatio-temporal statistical modeling to improve estimates; (5) Assessing data cost and quality tradeoffs; and (6) Combining information from multiple sources. It also reports on collaborations across nodes and with federal agencies, new software developed, and educational activities and outcomes. The paper concludes with an evaluation of the ability of the FSS to apply the NCRN's research outcomes and suggests some next steps, as well as the implications of this research-network model for future federal government renewal initiatives.
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:
analysis,
data,
researcher,
aggregation,
statistical,
data census,
report,
census data,
microdata,
survey,
aggregate,
study,
respondent,
research,
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:
Census of Manufactures,
Internal Revenue Service,
Bureau of Labor Statistics,
Service Annual Survey,
American Statistical Association,
National Science Foundation,
Bureau of Economic Analysis,
Federal Reserve Bank,
Census Bureau Longitudinal Business Database,
Survey of Income and Program Participation,
Cornell University,
Georgetown University,
Postal Service,
Economic Census,
Research Data Center,
North American Industry Classification System,
American Community Survey,
Health and Retirement Study,
Longitudinal Employer Household Dynamics,
Census Bureau Business Register,
Sloan Foundation,
Master Address File,
University of Michigan,
2010 Census,
Duke University,
Centers for Disease Control and Prevention,
Federal Statistical Research Data Center,
Carnegie Mellon University
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