Spatial Econometric Interaction Modelling
Roberto Patuelli Β· Giuseppe Arbia
ΠΈΡΠ»Ρ 2016β―Π³. Β· Springer
ΠΠ»Π΅ΠΊΡΡΠΎΠ½Π½Π°Ρ ΠΊΠ½ΠΈΠ³Π°
468
ΠΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΡΡΠ°Π½ΠΈΡ
reportΠΡΠ΅Π½ΠΊΠΈ ΠΈ ΠΎΡΠ·ΡΠ²Ρ Π½Π΅ ΠΏΡΠΎΠ²Π΅ΡΠ΅Π½Ρ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅β¦
ΠΠ± ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΠΎΠΉ ΠΊΠ½ΠΈΠ³Π΅
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.
ΠΠ± Π°Π²ΡΠΎΡΠ΅
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, UniversitΓ Cattolica del Sacro Cuore Roma, Italy; Lecturer in Statistics at UniversitΓ della Svizzera Italian, Lugano (CH), and Research Professor at the College of William & Mary, Wiliamsburg, Virginia (US).ΠΡΠ΅Π½ΠΈΡΠ΅ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΡΡ ΠΊΠ½ΠΈΠ³Ρ
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