Measurement error in earnings data in the health and retirement study
J. Bricker, and G. Engelhardt. Journal of Economic and Social Measurement, 33 (1):
39-61(2008)
Abstract
This paper provides new evidence on the extent of measurement error in respondent-reported earnings data by exploiting detailed W-2 records matched to older workers in the Health and Retirement Study (HRS). There is a negative correlation between the measurement error and the true value of earnings as measured by the W-2 records, which indicates the presence of non-classical measurement error. Yet for men and women, this error shows little correlation with a standard set of cross-sectional earnings determinants. Quantitatively, the bias from using self-reported earnings, either as a dependent or explanatory variable, is larger than those from existing studies of the CPS and PSID.
%0 Journal Article
%1 bricker2008measurement
%A Bricker, Jesse
%A Engelhardt, Gary V.
%D 2008
%J Journal of Economic and Social Measurement
%K socdes
%N 1
%P 39-61
%T Measurement error in earnings data in the health and retirement study
%U https://content.iospress.com/articles/journal-of-economic-and-social-measurement/jem00297
%V 33
%X This paper provides new evidence on the extent of measurement error in respondent-reported earnings data by exploiting detailed W-2 records matched to older workers in the Health and Retirement Study (HRS). There is a negative correlation between the measurement error and the true value of earnings as measured by the W-2 records, which indicates the presence of non-classical measurement error. Yet for men and women, this error shows little correlation with a standard set of cross-sectional earnings determinants. Quantitatively, the bias from using self-reported earnings, either as a dependent or explanatory variable, is larger than those from existing studies of the CPS and PSID.
@article{bricker2008measurement,
abstract = {This paper provides new evidence on the extent of measurement error in respondent-reported earnings data by exploiting detailed W-2 records matched to older workers in the Health and Retirement Study (HRS). There is a negative correlation between the measurement error and the true value of earnings as measured by the W-2 records, which indicates the presence of non-classical measurement error. Yet for men and women, this error shows little correlation with a standard set of cross-sectional earnings determinants. Quantitatively, the bias from using self-reported earnings, either as a dependent or explanatory variable, is larger than those from existing studies of the CPS and PSID.},
added-at = {2017-11-27T17:03:28.000+0100},
author = {Bricker, Jesse and Engelhardt, Gary V.},
biburl = {https://www.bibsonomy.org/bibtex/2c361cdf2c8bce4490e9472edf2d69d64/dirtyhawk},
interhash = {868b7bd606a923371dc9fd60b28c7cd3},
intrahash = {c361cdf2c8bce4490e9472edf2d69d64},
issn = {1875-8932},
journal = {Journal of Economic and Social Measurement},
keywords = {socdes},
number = 1,
pages = {39-61},
timestamp = {2018-09-19T18:10:30.000+0200},
title = {Measurement error in earnings data in the health and retirement study},
url = {https://content.iospress.com/articles/journal-of-economic-and-social-measurement/jem00297},
urldate = {2017-11-27},
volume = 33,
year = 2008
}