Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way.
The book outlines the specificities of data that represent a set of interacting individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R.
The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Giuseppe Arbia is full professor of economic statistics at the Faculty of Economics, Catholic University of the Sacred Heart, Rome, and lecturer at the University of Italian Switzerland in Lugano. Since 2006 he has been president of the Spatial Econometrics Association and since 2008 he has chaired the Spatial Econometrics Advanced Institute. He is also a member of many international scientific societies.
Giuseppe Espa is full professor in economic statistics at the Department of Economics and Management of the University of Trento and the LUISS "Guido Carli" University of Rome.
Diego Giuliani is associate professor in economic statistics at the Department of Economics and Management of the University of Trento. He works primarily on the use and development of statistical methods to analyze firm-level micro-geographic data.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Spatial Microeconometricsintroduces the reader to the basic concepts of spatial statistics, spatial econometrics and thespatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlinesthe specificities of data that represent a set of interacting individuals with respect to traditional econometricsthat treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on howto perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics. 250 pp. Englisch. N° de réf. du vendeur 9781138833746
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Spatial Microeconometricsintroduces the reader to the basic concepts of spatial statistics, spatial econometrics and thespatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlinesthe specificities of data that represent a set of interacting individuals with respect to traditional econometricsthat treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on howto perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics. N° de réf. du vendeur 9781138833746
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