This article utilizes an exact match file between the 1978 March Current Population Survey and administrative records from the Social Security Administration to analyze errors in the reporting of annual income using nonparametric methodology. The article extends work of Bound and Krueger, and the results confirm many of the findings in Bound and Krueger. Three new findings are of interest: there is higher measurement error in cross‐sectional samples than in panels. The negative relationship between measurement error and earnings is driven largely by overreporting among low earners. Median response errors are not related to earnings.
%0 Journal Article
%1 bollinger1998measurement
%A Bollinger, Christopher R.
%D 1998
%I The University of Chicago Press on behalf of the Society of Labor Economists and the NORC at the University of Chicago
%J Journal of Labor Economics
%K socdes
%N 3
%P 576-594
%R 10.1086/209899
%T Measurement Error in the Current Population Survey: A Nonparametric Look
%U http://www.jstor.org/stable/10.1086/209899
%V 16
%X This article utilizes an exact match file between the 1978 March Current Population Survey and administrative records from the Social Security Administration to analyze errors in the reporting of annual income using nonparametric methodology. The article extends work of Bound and Krueger, and the results confirm many of the findings in Bound and Krueger. Three new findings are of interest: there is higher measurement error in cross‐sectional samples than in panels. The negative relationship between measurement error and earnings is driven largely by overreporting among low earners. Median response errors are not related to earnings.
@article{bollinger1998measurement,
abstract = {This article utilizes an exact match file between the 1978 March Current Population Survey and administrative records from the Social Security Administration to analyze errors in the reporting of annual income using nonparametric methodology. The article extends work of Bound and Krueger, and the results confirm many of the findings in Bound and Krueger. Three new findings are of interest: there is higher measurement error in cross‐sectional samples than in panels. The negative relationship between measurement error and earnings is driven largely by overreporting among low earners. Median response errors are not related to earnings.},
added-at = {2018-01-12T15:57:46.000+0100},
author = {Bollinger, Christopher R.},
biburl = {https://www.bibsonomy.org/bibtex/2bde49a7de032d761acf16ac53278bba6/dirtyhawk},
doi = {10.1086/209899},
interhash = {b8f90252d40a464c44339381cc1dedfe},
intrahash = {bde49a7de032d761acf16ac53278bba6},
issn = {0734306X, 15375307},
journal = {Journal of Labor Economics},
keywords = {socdes},
number = 3,
pages = {576-594},
publisher = {The University of Chicago Press on behalf of the Society of Labor Economists and the NORC at the University of Chicago},
timestamp = {2018-09-19T18:10:30.000+0200},
title = {Measurement Error in the Current Population Survey: A Nonparametric Look},
url = {http://www.jstor.org/stable/10.1086/209899},
urldate = {2018-01-12},
volume = 16,
year = 1998
}