Online Program Home
My Program

Abstract Details

Activity Number: 179
Type: Contributed
Date/Time: Monday, August 1, 2016 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #318661
Title: Bayesian Decision Theory for Further Optimizing the Use of Administrative Records in the Census NRFU
Author(s): Yves Thibaudeau* and Darcy S. Morris
Companies: U.S. Census Bureau and U.S. Census Bureau
Keywords: Administrative Records ; Propensity ; Backward Induction ; NRFU ; Decennial Census
Abstract:

Morris, Keller and Clark (2016) show how to identify reliable administrative records for enumerating the occupants of housing units in the context of the U.S. Decennial Census Non-Response Follow-up. We propose using Bayesian decision theory to extend the approach of these authors and account for costs and response propensities of field follow-ups. We elicit a loss function that emphasizes the importance of a correct enumeration for each unit. We exploit the properties of the loss function to make decisions between conducting new field follow-ups and utilizing administrative records to complete an enumeration. This leads to a general Bayesian decision theory problem. We attempt approximating the Bayes (optimal) solution of this problem through a version of "backward induction" (DeGroot 1970; Brockwell Kadane 2003). We give explicit formulas applicable to specific situations and derive possible strategies.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

 
 
Copyright © American Statistical Association