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Measurement error in earnings data: replication of Meijer, Rohwedder, and Wansbeek’s mixture model approach to combining survey and register data

Jenkins, Stephen P. ORCID: 0000-0002-8305-9774 and Rios-Avila, Fernando (2021) Measurement error in earnings data: replication of Meijer, Rohwedder, and Wansbeek’s mixture model approach to combining survey and register data. Journal of Applied Econometrics. ISSN 1099-1255 (In Press)

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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.

Item Type: Article
Official URL: https://onlinelibrary.wiley.com/journal/10991255
Additional Information: © 2021 The Authors
Divisions: Social Policy
Subjects: H Social Sciences > HD Industries. Land use. Labor
Date Deposited: 04 Mar 2021 10:30
Last Modified: 22 Mar 2021 15:39
URI: http://eprints.lse.ac.uk/id/eprint/108951

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