Give missings a chance. Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information.

Autor/in	Dlugosz, Stephan
Titel	Give missings a chance. Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information.
Quelle	Mannheim: ZEW, Zentrum für Europäische Wirtschaftsforschung (2011), 47 S., 911 KB PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2); PDF als Volltext kostenfreie Datei (3); PDF als Volltext kostenfreie Datei (4) Link als defekt meldenVerfügbarkeit
Reihe	Discussion paper / ZEW. 11-013
Beigaben	grafische Darstellungen
Sprache	englisch; deutsche Zusammenfassung
Dokumenttyp	online; Monographie; Graue Literatur
URN	urn:nbn:de:bsz:180-madoc-31418
Schlagwörter	Schätzung; Bildungsstatistik; Bildungsertrag; Bildungsabschluss; Fehler; Regression; Schätztheorie; Statistik; Arbeitspapier; Deutschland
Abstract	Register data are known for their large sample size and good data quality. The measurement accuracy of variables highly depends on their high importance for administrative processes. The education variable in the IAB employment sub-sample is an example for information that is gathered without a clear purpose. It therefore severely suffers from missing values and misclassifications. In this paper, a classical approach to deal with incomplete data is used in combination with rule-based plausibility checks for misclassification to improve the quality of the variable. The developed correction procedure is applied to simple Mincer-type wage regressions. The procedure reveals that the quality of years in education is very important: The German labour market rewards general education less than vocational training. Furthermore, using this method, no indication of an inflation in formal education degrees could be found.
Erfasst von	ZBW - Leibniz-Informationszentrum Wirtschaft, Kiel
Update	2011/4