%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 }