Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/232924 
Year of Publication: 
2021
Series/Report no.: 
IZA Discussion Papers No. 14172
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
Meijer, Rohwedder, and Wansbeek (MRW, Journal of Business & Economic Statistics, 2012) develop methods for prediction of a single earnings figure per worker from mixture factor models fitted using earnings data from multiple linked data sources. MRW apply their method using parameter estimates of Kapteyn and Ypma's mixture factor model (KY, Journal of Labour Economics 2007) fitted to earnings data for Swedish workers aged 50+. First, we replicate MRW's empirical analysis using the Swedish model estimates. Second, we check the generality of their empirical finding with a new application. Using estimates of a KY model fit to a linked dataset on earnings for UK employees of all ages, we confirm that MRW's principal findings about the performance of their various predictors of true earnings also hold in this different setting.
Subjects: 
earnings prediction
measurement error
mixture factor model
labour earnings
Kapteyn-Ypma model
JEL: 
C81
C83
D31
Document Type: 
Working Paper

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