A Primer for Spatial Econometrics : With Applications in R, STATA and Python

by Giuseppe Arbia

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?.

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Year of publication:	2024 ; Second edition
Authors:	Arbia, Giuseppe
Publisher:	2024.: Cham : Springer International Publishing 2024.: Cham : Imprint: Palgrave Macmillan
Subject:	Spatial econometrics \| Linear spatial models \| Non-linear spatial models \| Spatial Big Data \| Computational solutions \| Second edition \| STATA \| R \| Python \| Econometrics textbooks \| Primer in spatial econometrics \| Ökonometrie \| Econometrics \| Regionalökonomik \| Regional economics \| Räumliche Interaktion \| Spatial interaction \| Theorie \| Theory \| Räumliche Statistik \| Spatial statistics \| Big Data \| Big data

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Extent:	1 Online-Ressource (XIX, 234 p. 24 illus., 3 illus. in color.)
Series:	Palgrave Texts in Econometrics
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-031-57182-4 ; 978-3-031-57181-7 ; 978-3-031-57183-1
Other identifiers:	10.1007/978-3-031-57182-4 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015084835