Most of the papers appearing in this book also appeared in a special issue of Empirical Economics on spatial econometrics. These papers were solicited from the International Workshop on Spatial Econometrics and Statistics held at LUISS “Guido Carli University” in Rome, Italy, 25–27 May, 2006. This conference also saw the birth of the Spatial Econometric Association. The Association's aim is to promote the development of theoretical tools and sound applications of the discipline of spatial econometrics, including spatial statistics and spatial data analysis. Spatial econometrics should be viewed in a wide sense involving developments of models and statistical tools for the analysis of externalities, spillovers, interactions etc., in various areas including economics, geography and regional science, etc. (from the By-laws of the Association).
In addition, we include four papers on spatial econometrics that appeared in regular issues of Empirical Economics over the period 2003–2006. This book includes methodology papers, see Fingelton's paper which generalizes the GMM estimator proposed by Kelejian and Prucha (1999) for the spatial regression model with autoregressive errors (SARAR) to a spatial autoregressive model with moving average errors (SARMA). Also, Arbia, Espa and Quah who provide new statistical tools to study the complex interaction between spatial concentration, regional growth and knowledge spillovers. This book also includes applications of spatial econometrics to (1) the valuation of the effect of improved air quality through the estimation of hedonic models of house prices, see Anselin and Lozano-Gracia, (2) the evolution of population growth in Spain, see Le Gallo and Chasco, (3) the β-convergence model across EU regions, see Battisti and Di Vaio, convergence in per-capita GDP across European regions, see Meliciani and Peracchi, and conditional income and productivity convergence across labour market regions in unified Germany, see Kosfeld and Lauridsen, (4) the evolution of regional employment in Spain, see Mayor and Lopez, (5) the impact of R&D spillovers on production in Italian manufacturing, see Aiello and Cardamone, (6) the economic determinants of health care activity in Spain, see Costa-Font and Moscone, (7) the finance-growth nexus in Italy, see Vaona, (8) the Austrian retail gasoline market, see Clemenz and Gugler, and (9) supply/demand agglomeration economies in the U.S. food system, see Cohen and Morrison Paul.
KeywordsKnowledge Spillover European Patent Office Spatial Econometric Spatial Regression Model Spatial Autoregressive Model
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