JSM 2005 Online Program

Abstract #303423

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	356
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Survey Research Methods
Abstract - #303423
Title:	The Development of Truth Decks for the 2010 Census Count Imputation Research
Author(s):	Todd Williams*+
Companies:	U.S. Census Bureau
Address:	10012 Felicie Ct, Ellicott City, MD, 21042, United States
Keywords:	truth deck ; logistic regression ; missing item propensity
Abstract:	When the U.S. Census Bureau's decennial census is processed, housing units can be missing their status (whether the units exist), occupancy (whether the units are vacant), and person counts within the units. For the 2010 Census, several methods for imputing these items are being tested. For comparing the imputation methods, truth decks are formed using housing unit data from the 2000 Census. Logistic regression models are fit to the data to find which variables (predictors) have the greatest impact on the propensity for each of the items to be missing. These predictors are used to create pseudo-strata, within which some of the housing units on the truth decks are flagged as missing either their status, occupancy, or person counts based on the corresponding propensities to be missing. The various imputation methods can be tested using the truth decks by comparing the imputed values to the original values for the items flagged as missing.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program