1.

Record Nr.

UNINA9910903793203321

Autore

Arbia Giuseppe

Titolo

A Primer for Spatial Econometrics : With Applications in R, STATA and Python / / by Giuseppe Arbia

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2024

ISBN

9783031571824

3031571827

Edizione

[2nd ed. 2024.]

Descrizione fisica

1 online resource (250 pages)

Collana

Palgrave Texts in Econometrics, , 2662-6608

Disciplina

330.9

Soggetti

Econometrics

Economics

Regional economics

Space in economics

Quantitative Economics

Political Economy and Economic Systems

Regional and Spatial Economics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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?.

Sommario/riassunto

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.