Abstract Details
Activity Number:
|
351
|
Type:
|
Topic Contributed
|
Date/Time:
|
Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Government Statistics Section
|
Abstract #317248
|
View Presentation
|
Title:
|
Small-Area Estimates as Covariates: A Measurement Error Approach
|
Author(s):
|
Susanna M. Makela* and Andrew Gelman
|
Companies:
|
Columbia University and Columbia University
|
Keywords:
|
small area estimation ;
sample surveys ;
survey weighting
|
Abstract:
|
Local- or neighborhood-level effects on individual health are often of great interest in epidemiologic and public health studies. In countries where population-based surveys are the main source of nationally representative health data, information from the individual or household level is often aggregated up to generate neighborhood-level variables. However, sample sizes at the neighborhood level are often small, and neighborhood-level characteristics are thus based on simple means or proportions from small samples of generally less than 30 observations. Obtaining more accurate estimates of these characteristics is particularly important when their effects are of substantive interest in the model. We propose a measurement error approach to simultaneously model the unobserved neighborhood-level characteristics and their relationship with the outcome of interest. We use simulation to demonstrate that this approach results in more accurate estimates of neighborhood-level effects than a simpler model using the direct mean. We illustrate with an application to a study of the effect of household- and neighborhood-level open defecation on child health and mortality in India.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2015 program
|
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.