JSM 2004 - Toronto

Abstract #300611

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. 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, 2004); 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.

Back to main JSM 2004 Program page
Activity Number: 371
Type: Topic Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Business and Economics Statistics Section
Abstract - #300611
Title: Some Aspects About the Quality of Income Data from Sample Surveys
Author(s): Rosalia Castellano*+ and Claudio Quintano and Andrea Regoli
Companies: Parthenope University of Naples and Parthenope University of Naples and Parthenope University of Naples
Address: Dept. of Statistics and Mathematics, Napoli, 80133, Italy
Keywords: missing data ; imputation ; validity
Abstract:

We aim at investigating some dimensions of the quality of income data from two Italian sample surveys, namely the Survey of Household Income and Wealth conducted by the Bank of Italy and the national component of the European Community Household Panel. In addition, the U.S. Panel Study of Income Dynamics is considered, which is a long-standing longitudinal survey. The data quality on sensitive topics such as income depends crucially on the control of nonsampling errors that are caused by nonresponses and response errors. As a consequence the estimates of the resulting income distribution, as well as any measure of the correlation between income and other variables, may suffer from inefficiency and bias. The main dimensions of the quality concept that we deal with are the accuracy and the validity of the information that is produced and disseminated. Special attention is devoted to the editing, weighting, and imputation methods currently adopted for these surveys, through which any erroneous value is corrected and any missing value is compensated for.

  • 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 2004 program

JSM 2004 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.
Revised March 2004