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.
- Language
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Englisch
- Bibliographic citation
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Series: ZEW Discussion Papers ; No. 15-043
- Classification
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Wirtschaft
- Subject
-
semiparametric regression
measurement error
side information
- Event
-
Geistige Schöpfung
- (who)
-
Dlugosz, Stephan
Mammen, Enno
Wilke, Ralf A.
- Event
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Veröffentlichung
- (who)
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Zentrum für Europäische Wirtschaftsforschung (ZEW)
- (where)
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Mannheim
- (when)
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2015
- Handle
- URN
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urn:nbn:de:bsz:180-madoc-394880
- Last update
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10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Dlugosz, Stephan
- Mammen, Enno
- Wilke, Ralf A.
- Zentrum für Europäische Wirtschaftsforschung (ZEW)
Time of origin
- 2015
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