Arbeitspapier
Measurement Error in Earnings Data: Replication of Meijer, Rohwedder, and Wansbeek's Mixture Model Approach to Combining Survey and Register Data
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 14172
- Klassifikation
-
Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Survey Methods; Sampling Methods
Personal Income, Wealth, and Their Distributions
- Thema
-
earnings prediction
measurement error
mixture factor model
labour earnings
Kapteyn-Ypma model
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Jenkins, Stephen P.
Rios-Avila, Fernando
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute of Labor Economics (IZA)
- (wo)
-
Bonn
- (wann)
-
2021
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Jenkins, Stephen P.
- Rios-Avila, Fernando
- Institute of Labor Economics (IZA)
Entstanden
- 2021
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