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e-journal

Response Error in Earnings: An Analysis of the Survey of Income and Program Participation Matched With Administrative Data

ChangHwan Kim - Nama Orang; Christopher R. Tamborini - Nama Orang;

This article examines the problem of response error in survey earnings data. Comparing workers’ earnings reports in the U.S. Census Bureau’s Survey of Income and Program Participation (SIPP) to their detailed W-2 earnings records from the Social Security Administration, we employ ordinary least squares (OLS) and quantile regression models to assess the effects of earnings determinants and demographic variables on measurement errors in 2004 SIPP earnings in terms of bias and variance. Results show that measurement errors in earnings are not classical, but mean-reverting. The directions of bias for subpopulations are not constant, but varying across levels of earnings. Highly educated workers more correctly report their earnings than less educated workers at higher earnings levels, but they tend to overreport at lower earnings levels. Black workers with high earnings underreport to a greater degree than comparable whites, while black workers with low earnings
overreport to a greater degree. Some subpopulations exhibit higher variances of measurement errors than others. Blacks, Hispanics, high school dropouts, part-year employed workers, and occupation ‘‘switchers’’ tend to misreport—both over- and underreport—their earnings rather than unilaterally in one direction. The implications of our findings are discussed.

Keywords
measurement error, survey earnings, SIPP, quantile regression, meanreverting error


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Informasi Detail
Judul Seri
Sociological Methods & Research
No. Panggil
-
Penerbit
London : SAGE., 2014
Deskripsi Fisik
Sociological Methods & Research 2014, Vol 43(1) 39-72
Bahasa
English
ISBN/ISSN
DOI: 10.1177/0049124
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
2014, Vol 43(1)
Subjek
METODOLOGI PENELITIAN SOSIAL
Info Detail Spesifik
-
Pernyataan Tanggungjawab
agus
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  • FULL TEXT: Response Error in Earnings: An Analysis of the Survey of Income and Program Participation Matched With Administrative Data
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