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A primer for spatial econometrics = ...

Arbia, Giuseppe.

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A primer for spatial econometrics = with applications in R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A primer for spatial econometrics/ Giuseppe Arbia.
Reminder of title:	with applications in R /
Author:	Arbia, Giuseppe.
Published:	Basingstoke :Palgrave Macmillan : : 2014.,
Description:	246 p. :21 figures, 56.
Notes:	Electronic book text.
[NT 15003449]:	1. The Classical Linear Regression Model 2. Some Important Spatial Definitions 3. Spatial Linear Regression Models 4. Further Topics in Spatial Econometrics 5. Alternative Model Specifications for Big Datasets 6. Conclusions: What's Next?
Subject:	Econometrics. -
Online resource:	http://link.springer.com/10.1057/9781137317940Online journal 'available contents' page
ISBN:	1137317949 (electronic bk.) :

A primer for spatial econometrics = with applications in R /
Arbia, Giuseppe.

A primer for spatial econometricswith applications in R /[electronic resource] :Giuseppe Arbia. - 1st ed. - Basingstoke :Palgrave Macmillan :2014. - 246 p. :21 figures, 56. - Palgrave texts in econometrics .

Electronic book text.

1. The Classical Linear Regression Model 2. Some Important Spatial Definitions 3. Spatial Linear Regression Models 4. Further Topics in Spatial Econometrics 5. Alternative Model Specifications for Big Datasets 6. Conclusions: What's Next?

Document

This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.A Primer in Spatial Econometrics aims at meeting the growing demand in the field by introducing basic spatial econometrics methodologies to a wide variety of researchers. Spatial econometrics is a relatively new topic that is enjoying a widely dispersed growth in many of the social sciences. Readers will find this text to be an approachable, informative springboard to their own research and an invaluable support for those that want to start working immediately with the methods. It moves beyond previous studies as it is explicitly aimed at bridging the gap between a basic econometric textbook and more specialized texts in the subject. This book provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and enables the reader to correctly interpret empirical results and to start working with the methods. It provides essential notions and key insights as well as providing references for further reading to more in-depth discussions. Readers will appreciate the extensive presentation of examples in R, which has emerged as the software of choice for model builders in this area. The text is integrated with real numerical examples, problem sets and practical exercises and also contains the description of the essential computer codes of the statistical software R.

PDF.

Giuseppe Arbia (PhD Cantab) is Full Professor of Economic Statistics at the Universita Cattolica del Sacro Cuore of Rome, Italy, and Lecturer of Statistics at the Universita 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 five 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.

ISBN: 1137317949 (electronic bk.) :£26.99Subjects--Topical Terms:

542934
Econometrics.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

A primer for spatial econometrics = with applications in R /
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500 $a Epublication based on: 9781137428165, 2014.
505 0 $a 1. The Classical Linear Regression Model 2. Some Important Spatial Definitions 3. Spatial Linear Regression Models 4. Further Topics in Spatial Econometrics 5. Alternative Model Specifications for Big Datasets 6. Conclusions: What's Next?
516 $a Document
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538 $a PDF.
545 0 $a Giuseppe Arbia (PhD Cantab) is Full Professor of Economic Statistics at the Universita Cattolica del Sacro Cuore of Rome, Italy, and Lecturer of Statistics at the Universita 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 five 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.
650 0 $a Econometrics. $3 542934
650 0 $a Spatial analysis (Statistics). $3 740152
650 7 $a Economics. $3 517137
650 7 $a Urban economics. $3 526020
856 4 $u http://link.springer.com/10.1057/9781137317940 $x 05 $z Online journal 'available contents' page