Cantitate/Preț
Produs

A Primer for Spatial Econometrics: With applications in R, and STATA and Python: Palgrave Texts in Econometrics

Autor Giuseppe Arbia
en Limba Engleză Paperback – 19 oct 2024
This textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools required to successfully apply a spatial approach.
The second edition contains new methodological developments, new references and new software routines in R that have emerged since the first edition published in 2014. It also extends practical applications with the use of the software STATA and of the programming language Python. The first software is used increasingly by many economists, applied econometricians and social scientists while the software Python is becoming the elective choice in many scientific applications. With new statistical appendices in R, STATA and Python, as well as worked examples, learning questions, exercises and technical definitions, this is a significantly expanded second edition that will be a valuable resource for advanced students of econometrics.
Citește tot Restrânge

Din seria Palgrave Texts in Econometrics

Preț: 36216 lei

Preț vechi: 43634 lei
-17% Nou

Puncte Express: 543

Preț estimativ în valută:
6931 71100$ 5757£

Carte disponibilă

Livrare economică 13-27 ianuarie 25
Livrare express 27 decembrie 24 - 02 ianuarie 25 pentru 2893 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031571817
ISBN-10: 3031571819
Pagini: 350
Ilustrații: Approx. 350 p. 50 illus.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.4 kg
Ediția:Second Edition 2024
Editura: Springer International Publishing
Colecția Palgrave Macmillan
Seria Palgrave Texts in Econometrics

Locul publicării:Cham, Switzerland

Cuprins

1. The classical linear regression model.- 2. Some important spatial definitions.- 3. Spatial linear regression models.- 4. Further topics in spatial econometrics.- 5. Alternative spatial model specifications in the era of Big Data.- 6. Conclusions: What’s next?.

Notă biografică

Giuseppe Arbia is Full Professor of Economic Statistics at the Università Cattolica del Sacro Cuore of Rome, Italy, and Lecturer of Statistics at the Università della Svizzera Italiana in Lugano, Switzerland. He was formerly Visiting Professor at New York University, USA, and at many other international universities. He has published eight books and more than 100 articles on the topic of spatial statistics and econometrics and is currently the Chairman of the Spatial Econometrics Association and the Director of the Spatial Econometrics Advanced Institute.


Textul de pe ultima copertă

This textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools required to successfully apply a spatial approach.
The second edition contains new methodological developments, new references and new software routines in R that have emerged since the first edition published in 2014. It also extends practical applications with the use of the software STATA and of the programming language Python. The first software is used increasingly by many economists, applied econometricians and social scientists while the software Python is becoming the elective choice in many scientific applications. With new statistical appendices in R, STATA and Python, as well as worked examples, learning questions, exercises and technical definitions, this is a significantly expanded second edition that will be a valuable resource for advanced students of econometrics.
 
Giuseppe Arbia is Full Professor of Economic Statistics at the Università Cattolica del Sacro Cuore of Rome, Italy, and Lecturer of Statistics at the Università della Svizzera Italiana in Lugano, Switzerland. He was formerly Visiting Professor at New York University, USA, and at many other international universities. He has published eight books and more than 100 articles on the topic of spatial statistics and econometrics and is currently the Chairman of the Spatial Econometrics Association and the Director of the Spatial Econometrics Advanced Institute.

Caracteristici

Includes new methodological developments and software routines in R that have emerged in the last 5 years Extends the practical applications to the use of STATA Includes new appendices focused on STATA which significantly widens the scope of this second edition