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Spatial Econometric Interaction Modelling: Advances in Spatial Science

Editat de Roberto Patuelli, Giuseppe Arbia
en Limba Engleză Paperback – 30 mai 2018
This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation. The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation.
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Specificații

ISBN-13: 9783319807461
ISBN-10: 3319807463
Pagini: 468
Ilustrații: XI, 468 p. 66 illus., 51 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.67 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Spatial Science

Locul publicării:Cham, Switzerland

Cuprins

Preface.- Part I: General Methodological Issues.- Part II: Specific Methodological Issues.- Part III: Applications.

Notă biografică

Roberto Patuelli isAssociate Professor for Economic Policy in the Department of Economics,University of Bologna, Italy. He holds an M.A. from George Mason University,USA, and a Ph.D. from Vrije Universiteit Amsterdam, Netherlands.
Giuseppe Arbia (Ph.D. Cantab) is Full Professor of Economic Statistics in the Department of Statistical Sciences, Università Cattolica del Sacro Cuore Roma, Italy; Lecturer in Statistics at Università della Svizzera Italian, Lugano (CH), and Research Professor at the College of William & Mary, Wiliamsburg, Virginia (US).

Textul de pe ultima copertă

This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation.The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation.

Caracteristici

Presents a joint treatment of spatial econometrics and spatial interaction modelling Evaluates the suitability of spatial econometrics for the use of areal data in flow-data modeling Includes empirical applications from tourism, interregional trade and migration, as well as residential relocation