Dynamic Spatial Autoregressive Models with Time-Varying Spatial Weighting Matrices

44 Pages Posted: 14 Sep 2018

See all articles by Anna Gloria Billé

Anna Gloria Billé

Free University of Bolzano-Bozen

Leopoldo Catania

Aarhus University - School of Business and Social Sciences; Aarhus University - CREATES

Date Written: August 30, 2018

Abstract

We propose a new spatio-temporal model with time-varying spatial weighting matrices. We allow for a general parameterization of the spatial matrix, such as: (i) a function of the inverse distances among pairs of units in space to the power of an unknown time-varying distance decay parameter, and (ii) a negative exponential function of the time -- varying parameter as in (i). The filtering procedure of the time-varying unknown parameters is performed using the information contained in the score of the conditional distribution of the observables. An extensive Monte Carlo simulation study to investigate the finite sample properties of the maximum likelihood estimator is reported. In the empirical part of the paper we analyze the association between eight European countries' perceived risk. Our findings suggest that the economically strong countries have their perceived risk increased due to their spatial connection with the economically weaker countries. A second empirical analysis investigates the evolution of the spatial connection between the house prices in different areas of the UK. In this case we identify periods when the usually adopted sparse weighting matrix is not sufficient to describe the underlying spatial process.

Suggested Citation

Billé, Anna Gloria and Catania, Leopoldo, Dynamic Spatial Autoregressive Models with Time-Varying Spatial Weighting Matrices (August 30, 2018). Available at SSRN: https://ssrn.com/abstract=3241470 or http://dx.doi.org/10.2139/ssrn.3241470

Anna Gloria Billé

Free University of Bolzano-Bozen ( email )

Piazza Università 1
Bolzano, Bolzano 39100
Italy

Leopoldo Catania (Contact Author)

Aarhus University - School of Business and Social Sciences ( email )

Fuglesangs Allé 4
Aarhus V, DK-8210
Denmark
+4587165536 (Phone)

HOME PAGE: http://pure.au.dk/portal/en/leopoldo.catania@econ.au.dk

Aarhus University - CREATES ( email )

School of Economics and Management
Building 1322, Bartholins Alle 10
DK-8000 Aarhus C
Denmark

Register to save articles to
your library

Register

Paper statistics

Downloads
38
Abstract Views
140
PlumX Metrics