Spatial Econometric Interaction Modelling

Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-80746-1
Verlag: Springer International Publishing

Buch, Englisch, 468 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 7197 g

Reihe: Advances in Spatial Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Arbia, Giuseppe

Patuelli, Roberto

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Regionalwissenschaften, Regionalstudien
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Wirtschaftswissenschaften Volkswirtschaftslehre Regional- und Städtische Wirtschaft
• Geowissenschaften Geographie | Raumplanung Humangeographie Wirtschaftsgeographie

Inhaltsverzeichnis

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

Über Autor(innen)

Roberto Patuelli is Associate 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).