Spatial Econometric Interaction Modelling

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.

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

Autorentext

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).

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