Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 286 - Small-Area Estimation and Survey Methods Sampler
Type: Contributed
Date/Time: Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #322973
Title: Using Geographically Weighted Regressions to Assess Variability in Small Area Model Parameters
Author(s): Jerry Joseph Maples* and Isaac Dompreh
Companies: U.S. Census Bureau and U.S. Census Bureau
Keywords: Small Area ; Survey Data; Model Diagnostics
Abstract:

In the Small Area Income and Poverty Estimates program at the US Census Bureau, the parameters in the production models are assumed to be constant for all areas (states or counties) across the nation. In the county model, there are over 3100 counties which differ from each other is significant ways (population size, geographical size, demographic composition, etc) that may not be captured by the covariates used in the production model: Federal Tax data, government assistance programs participation rates (e.g. foodstamps) and population estimates. Preliminary analysis of splitting the counties into three groups based on population size suggested that the small area model parameters may vary across areas. Borrowing ideas from the geographically weighted regression (GWR) literature, we propose a method to evaluate the assumption that the small area model parameters are constant across all of the areas.


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

Back to the full JSM 2022 program