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Spatial Econometric Interaction Modelling [Paperback]

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  • Category: Books (Business & Economics)
  • ISBN-10:  3319807463
  • ISBN-10:  3319807463
  • ISBN-13:  9783319807461
  • ISBN-13:  9783319807461
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  3319807463-11-SPRI
  • SKU:  3319807463-11-SPRI
  • Item ID: 101349374
  • List Price: $179.99
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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.Preface.- Part I: General Methodological Issues.- Part II: Specific Methodological Issues.- Part III: Applications.

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, Universit? Cattolica del Sacro Cuore Roma, Italy; Lecturer in Statistics at Universit? della Svizzera Italian, Lugano (CH), and Research Professor at the College of William & Mary, Wiliamsburg, Virginia (US).
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 lÓï
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