Printer Friendly

Reporting of household income: complete versus incomplete response.

Thesia I. Gamer and Laura A. Blanciforti, "Reporting of Household Income: Complete Versus Incomplete Response," published in Bureau of the Census Third Annual Research Conference, March 29-April 1, 1987 Proceedings (Washington, Bureau of the Census, 1987). Another version of this paper was presented during the American Council on Consumer Interests 33rd Annual Conference, held April 1 -4, 1987, in Denver, Co.

The purpose of this study is to examine the relationship between particular socioeconomic characteristics and the probability that a consumer unit reports income information. This is in contrast to earlier income/earnings reporting studies in which individual characteristics are related to response probabilities. Income reporting is defined in terms of the completeness of income information obtained from consumer units. The distinction between a complete income reporter and an incomplete income reporter is based on whether the respondent provides values for various sources of income. Socioeconomic variables included in the model are the age, race, sex, education, and occupation of the reference person, and the housing tenure, degree of urbanization, and region of residence of the household. Binomial logit analysis is used to model the probability of income response completeness. Data from the Interview portion of the 1983 Consumer Expenditure Survey are analyzed.

If the reference person is self-employed or has a 4-year college degree, the consumer unit is likely to be an incomplete income respondent. Increases in the reference person's age, for the most part are related to decreases in the probability of complete income response. Owning one's home is negatively related to being a complete income reporter. Consumer units living in the Northeast and those living in the North Central regions of the country also are less likely than others to be complete income reporters. These results are consistent with related findings of previous researchers. For this analysis, no attempt is made to test whether the socioeconomic variables influence income completeness through their effect or whether the variables independently influence income completeness.

Results from the study have important implications for research. Analysts interested in using income from the Consumer Expenditure Survey need to be aware that complete and incomplete reporters of income are different; these differences may lead to biased estimation results if not accounted for in one's analytical procedure. Focusing on factors related to income report completeness is also important when the Bureau considers revising data collection procedures to improve data quality.
COPYRIGHT 1988 U.S. Bureau of Labor Statistics
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 1988 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Consumer Expenditure Survey Conference paper summaries
Author:Garner, Thesia I.; Blanciforti, Laura A.
Publication:Monthly Labor Review
Date:Aug 1, 1988
Previous Article:Gift-giving behavior: an economic perspective.
Next Article:Income elasticities of expenditure for food.

Related Articles
Proportion of higher income families declines during the 1969-82 period.
Income elasticities of expenditure for food.
Individual consumption within the household: a study of expenditures on clothing.
Expenditures of urban and rural consumers, 1972-73 to 1985.
The underground economy: new estimates from household income and expenditure surveys.
Imputing income in the Consumer Expenditure Survey.
CE data: quintiles of income versus quintiles of outlays.
What does it mean to be poor in America?
Teenagers: employment and contributions to family spending.
Income imputation and the analysis of consumer expenditure data: the Consumer Expenditure Survey now provides imputed income data from 2004 forward...

Terms of use | Copyright © 2017 Farlex, Inc. | Feedback | For webmasters