Hierarchical Bayesian Methods for Combining Estimates from Multiple Surveys
Date/Time: January 30, 2015, 12:30pm to 1:30pm
Speaker: Adrijo Chakraborty, NORC
Chair: Mike Fleming
Sponsor: WSS Methodology Section
Location: Bureau of Labor Statistics Conference Center
Click here to download presentation materials
Abstract:
In order to estimate the number of occupied households, US Census Bureau conducts many
surveys. As a result, we get different estimates of the number of occupied households from these
surveys. While each survey is useful, differences among the estimates they produce are sometimes very
large. To resolve these differences, we propose a hierarchical Bayesian method to obtain a more reliable
estimate of the number of occupied households by combining estimates from these surveys. We apply
our method to the estimates from Current Population Survey (CPS)/Annual Social and Economic
Supplement, CPS/Housing Vacancy Survey, American Community Survey, and American Housing Survey
between 2002 and 2011 to produce a more reliable estimate of the number of occupied households.
(This is a joint work with Dr. Gauri Datta and Dr Yang Cheng.)
POC email: Chakraborty-Adrijo@norc.org
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