Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/196764 
Year of Publication: 
2019
Series/Report no.: 
IZA Discussion Papers No. 12266
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
We describe methods of combining administrative and survey data to improve the measurement of income. We begin by decomposing the total survey error in the mean of survey reports of dollars received from a government transfer program. We decompose this error into three parts, generalized coverage error (which combines coverage and unit non-response error and any error from weighting), item non-response or imputation error, and measurement error. We then discuss these three sources of error in turn and how linked administrative and survey data can assess and reduce each of these sources. We then illustrate the potential of linked data by showing how using linked administrative variables improves the measurement of income and poverty in the Current Population Survey, focusing on the substitution of administrative for survey data for three government transfer programs. Finally, we discuss how one can examine the accuracy of the underlying links used in the combined data.
Subjects: 
income distribution
survey error
administrative data
linked data
data combination
JEL: 
C18
C81
C83
D31
I32
Document Type: 
Working Paper

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