Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/223301
Authors: 
Crossley, Thomas
Levell, Peter
Poupakis, Stavros
Year of Publication: 
2020
Series/Report no.: 
IFS Working Papers No. W20/25
Abstract: 
Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent variable. We show that commonly employed regression or matching-based imputation procedures lead to inconsistent estimates. We offer an easily-implemented correction and correct asymptotic standard errors. We illustrate these with empirical examples using data from the US Consumer Expenditure Survey (CE) and the Panel Study of Income Dynamics (PSID).
Subjects: 
Imputation
Measurement error
Consumption
JEL: 
C81
C13
E21
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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