Abstract Details
Activity Number:
|
315
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Survey Research Methods Section
|
Abstract - #309485 |
Title:
|
Using Targeted Lists for Studies of Rare Populations: The Super Wealthy
|
Author(s):
|
Ned English*+ and Steven Pedlow and Lee Fiorio and Catherine Haggerty and Benjamin Page and Jason Seawright
|
Companies:
|
NORC and NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and Northwestern University and Northwestern University
|
Keywords:
|
Rare populations ;
Hard to reach ;
Frame construction ;
List matching ;
Survey methodology
|
Abstract:
|
The Survey of Economically Successful Americans (SESA) is designed to understand the influence of exceptionally wealthy individuals on the American political process. Our pilot study had the goal of targeting the top 1/10 of 1% of households, estimated at $20-40 million in net-worth. One challenge was the absence of a sampling frame that efficiently captured such high-wealth individuals, and limitations in publicly-available sources such as the American Community Survey. We created a composite frame from market-research sources, including lists of business executives and "wealthy" individuals. Most sources carried limitations in data resolution i.e. top-coding, as well as inconsistent accuracy. Our current research uses external data sources to enhance our results with the goal of improving both the coverage and hit-rate of our methodology. Examples of newly available data sources include estimates of total liquid assets, home value, and stock-sales that were not available during our pilot phase design. We present models that outline the most efficient approach for conducting nationally-representative household surveys of very wealthy populations.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please 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.
Copyright © American Statistical Association.