- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1613-9798
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Regularization and variable selection in Heckman selection model ; day:16 ; month:6 ; year:2021 ; pages:1-19
Statistical papers ; (16.6.2021), 1-19
- Classification
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Wirtschaft
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s00362-021-01246-z
- URN
-
urn:nbn:de:101:1-2021100619204619497959
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ogundimu, Emmanuel
- SpringerLink (Online service)
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A GMM-based test for normal disturbances of the Heckman sample selection model
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Marginal effects and significance testing with Heckman's sample selection model : a methodological note
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
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DS-HECK: double-lasso estimation of Heckman selection model
Variable selection and regularization via arbitrary rectangle-range generalized elastic net
Revisiting the Composition of the Female Workforce - A Heckman Selection Model with Endogeneity
Marginal Effects and Significance Testing with Heckman's Sample Selection Model: A Methodological Note
A GMM-based test for normal disturbances of the Heckman sample selection model
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Marginal effects and significance testing with Heckman's sample selection model : a methodological note
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Using reference models in variable selection
Regularization and model selection in the context of density estimation
Regularization and Model Selection in the Context of Density Estimation
Variable selection by regularization methods for generalized mixed models
DS-HECK: double-lasso estimation of Heckman selection model
Variable selection and regularization via arbitrary rectangle-range generalized elastic net
Revisiting the Composition of the Female Workforce - A Heckman Selection Model with Endogeneity
Marginal Effects and Significance Testing with Heckman's Sample Selection Model: A Methodological Note
A GMM-based test for normal disturbances of the Heckman sample selection model
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Marginal effects and significance testing with Heckman's sample selection model : a methodological note
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Using reference models in variable selection
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