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Spatial econometricsspatial autoregressive models /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatial econometricsLung-Fei Lee.
其他題名:	spatial autoregressive models /
作者:	Lee, Lung-fei.
出版者:	Singapore :World Scientific,c2024.
面頁冊數:	1 online resource (lii, 841 p.)
標題:	Econometrics.
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/13253#t=toc
ISBN:	9789811270499$q(ebook for institutions)

Spatial econometricsspatial autoregressive models /
Lee, Lung-fei.

Spatial econometricsspatial autoregressive models /[electronic resource] :Lung-Fei Lee. - 1st ed. - Singapore :World Scientific,c2024. - 1 online resource (lii, 841 p.) - World Scientific series on econometrics and statistics ;vol. 1. - World Scientific series on econometrics and statistics ;vol. 1..

Includes bibliographical references (p. 811-828) and index.

"This is the most recently developed book in Spatial Econometrics which cover important models and estimation methods. Its coverage is rather broad, and some of the topics covered have only been developed in the recent econometric literature in spatial econometrics. The book summarizes our devoted efforts on spatial econometrics that represent joint contributions with former PhD advisees from the Ohio State University in Columbus, Ohio, USA. The coverage is comprehensive and there are a total of sixteen chapters from basic statistics and statistical theory of linear-quadratic forms, law of large numbers (LLN) and central limit theory (CLT) on martingales to nonlinear spatial mixing and spatial near-epoch dependence theories, which can justify the statistic inferences for various spatial models and their estimation. New estimation and testing approaches in empirical likelihood and general empirical likelihood, and Bootstrapping are presented. Model selection is also discussed in this book. In addition to the popular spatial autoregressive models, there are chapters on multivariate SAR models, simultaneous SAR models, and panel dynamic spatial model models. Recent econometric developments on intertemporal spatial models with rational expectations and on flows data in trade theory will also be included. In terms of statistics, classical estimation, testing and inference are the main concerns, and we provide classical inference for the justification of Bayesian simulation approaches"--

ISBN: 9789811270499$q(ebook for institutions)Subjects--Topical Terms:

182271
Econometrics.

LC Class. No.: HB139 / .L423 2024

Dewey Class. No.: 330.01/5195

Spatial econometricsspatial autoregressive models /
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300 $a 1 online resource (lii, 841 p.)
490 1 $a World Scientific series on econometrics and statistics ; $v vol. 1
504 $a Includes bibliographical references (p. 811-828) and index.
520 $a "This is the most recently developed book in Spatial Econometrics which cover important models and estimation methods. Its coverage is rather broad, and some of the topics covered have only been developed in the recent econometric literature in spatial econometrics. The book summarizes our devoted efforts on spatial econometrics that represent joint contributions with former PhD advisees from the Ohio State University in Columbus, Ohio, USA. The coverage is comprehensive and there are a total of sixteen chapters from basic statistics and statistical theory of linear-quadratic forms, law of large numbers (LLN) and central limit theory (CLT) on martingales to nonlinear spatial mixing and spatial near-epoch dependence theories, which can justify the statistic inferences for various spatial models and their estimation. New estimation and testing approaches in empirical likelihood and general empirical likelihood, and Bootstrapping are presented. Model selection is also discussed in this book. In addition to the popular spatial autoregressive models, there are chapters on multivariate SAR models, simultaneous SAR models, and panel dynamic spatial model models. Recent econometric developments on intertemporal spatial models with rational expectations and on flows data in trade theory will also be included. In terms of statistics, classical estimation, testing and inference are the main concerns, and we provide classical inference for the justification of Bayesian simulation approaches"-- $c Provided by publisher.
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