Arbeitspapier
Generalised partially linear regression with misclassified data and an application to labour market transitions
We consider the semiparametric generalised linear regression model which has mainstream empirical models such as the (partially) linear mean regression, logistic and multinomial regression as special cases. As an extension to related literature we allow a misclassified covariate to be interacted with a nonparametric function of a continuous covariate. This model is tailormade to address known data quality issues of administrative labour market data. Using a sample of 20m observations from Germany we estimate the determinants of labour market transitions and illustrate the role of considerable misclassification in the educational status on estimated transition probabilities and marginal effects.
- Sprache
-
Englisch
- Erschienen in
-
Series: ZEW Discussion Papers ; No. 15-043
- Klassifikation
-
Wirtschaft
- Thema
-
semiparametric regression
measurement error
side information
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dlugosz, Stephan
Mammen, Enno
Wilke, Ralf A.
- Ereignis
-
Veröffentlichung
- (wer)
-
Zentrum für Europäische Wirtschaftsforschung (ZEW)
- (wo)
-
Mannheim
- (wann)
-
2015
- Handle
- URN
-
urn:nbn:de:bsz:180-madoc-394880
- Letzte Aktualisierung
-
10.03.2025, 11:43 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
- Dlugosz, Stephan
- Mammen, Enno
- Wilke, Ralf A.
- Zentrum für Europäische Wirtschaftsforschung (ZEW)
Entstanden
- 2015
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