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GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
Authors: ---
Year: 2019 Publisher: FedOA - Federico II University Press

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Abstract

This book collects the papers presented at the 6th Gretl Conference, which took place at the Dipartimento di Scienze Politiche, University of Naples, on 13th-14th of June, 2019. The papers (which had been selected through a refereeing process) contain theoretical topics on computational problems as well as empirical applications using the program, and cover a wide range of topics in statistics and applied econometrics, among which Generalized Dynamic Factor Models, Propensity Score Matching, Bayesian Model Averaging, Spatial Models, Cointegration and Boostrap Techniques.


Book
GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
Authors: ---
Year: 2019 Publisher: FedOA - Federico II University Press

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Abstract

This book collects the papers presented at the 6th Gretl Conference, which took place at the Dipartimento di Scienze Politiche, University of Naples, on 13th-14th of June, 2019. The papers (which had been selected through a refereeing process) contain theoretical topics on computational problems as well as empirical applications using the program, and cover a wide range of topics in statistics and applied econometrics, among which Generalized Dynamic Factor Models, Propensity Score Matching, Bayesian Model Averaging, Spatial Models, Cointegration and Boostrap Techniques.


Book
GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
Authors: ---
Year: 2019 Publisher: FedOA - Federico II University Press

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book collects the papers presented at the 6th Gretl Conference, which took place at the Dipartimento di Scienze Politiche, University of Naples, on 13th-14th of June, 2019. The papers (which had been selected through a refereeing process) contain theoretical topics on computational problems as well as empirical applications using the program, and cover a wide range of topics in statistics and applied econometrics, among which Generalized Dynamic Factor Models, Propensity Score Matching, Bayesian Model Averaging, Spatial Models, Cointegration and Boostrap Techniques.

Listing 1 - 3 of 3
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