Endogeneity in stochastic frontier models with 'wrong' skewness: copula approach without external instruments
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Endogeneity in stochastic frontier models with 'wrong' skewness: copula approach without external instruments ; day:3 ; month:4 ; year:2024 ; pages:1-20
Statistical methods & applications ; (3.4.2024), 1-20
- Classification
-
Wirtschaft
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10260-024-00750-4
- URN
-
urn:nbn:de:101:1-2406190944433.452896161908
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:51 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
- Haschka, Rouven E.
- SpringerLink (Online service)
Other Objects (12)
The wrong skewness problem in stochastic frontier models: A new approach
Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models
“Wrong” skewness and endogenous regressors in stochastic frontier models: an instrument-free copula approach with an application to estimate firm efficiency in Vietnam
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis
Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach
Unravelling spatial patterns in efficiency frontiers with an extension to endogeneity-robust modelling using copulas
The wrong skewness problem in stochastic frontier models: A new approach
Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models
“Wrong” skewness and endogenous regressors in stochastic frontier models: an instrument-free copula approach with an application to estimate firm efficiency in Vietnam
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis
Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach
Unravelling spatial patterns in efficiency frontiers with an extension to endogeneity-robust modelling using copulas
The wrong skewness problem in stochastic frontier models: A new approach
Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models
“Wrong” skewness and endogenous regressors in stochastic frontier models: an instrument-free copula approach with an application to estimate firm efficiency in Vietnam
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Hidden skewness
Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis
Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach