GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library

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...

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Huvudupphov: Riccardo Lucchetti, Francesca Di Iorio
Materialtyp: Online
Språk:engelska
Utgiven: FedOA - Federico II University Press 2021
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author Riccardo Lucchetti
Francesca Di Iorio
author_browse Francesca Di Iorio
Riccardo Lucchetti
author_facet Riccardo Lucchetti
Francesca Di Iorio
author_sort Riccardo Lucchetti
collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
publishDate 2021
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spelling doab-20.500.12854ir-489182022-01-31T10:08:53Z GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library Riccardo Lucchetti Francesca Di Iorio Applied Econometrics Computational Problems GRETL Software Open Source Open Source Econometric Software GRETL 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. 2021-02-11T14:56:30Z 2021-02-11T14:56:30Z 2020-02-11 16:05:29 2019 book 44380 9788868870577 https://directory.doabooks.org/handle/20.500.12854/48918 eng Scuola delle Scienze Umane e Sociali. Quaderni image/png Attribution 4.0 International http://www.fedoabooks.unina.it/index.php/fedoapress/catalog/book/120 FedOA - Federico II University Press 10.6093/978-88-6887-057-7 10.6093/978-88-6887-057-7 725b3cbf-52ac-4597-b597-c9b6ee3fc903 9788868870577 VII, 168 open access
spellingShingle Applied Econometrics
Computational Problems GRETL
Software Open Source
Open Source Econometric Software
GRETL
Riccardo Lucchetti
Francesca Di Iorio
GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
title GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
title_full GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
title_fullStr GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
title_full_unstemmed GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
title_short GRETL 2019. Proceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library
title_sort gretl 2019 proceedings of the international conference on the gnu regression econometrics and time series library
topic Applied Econometrics
Computational Problems GRETL
Software Open Source
Open Source Econometric Software
GRETL
topic_facet Applied Econometrics
Computational Problems GRETL
Software Open Source
Open Source Econometric Software
GRETL
url 44380
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