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008 230130s2024 si ob 001 0 eng d
010 _a 2022062230
020 _a9789811270499
_q(ebook)
020 _a981127049X
_q(ebook)
020 _z9789811270482
_q(hbk.)
040 _aWSPC
_beng
_cWSPC
050 4 _aHB139
072 7 _aBUS
_x021000
_2bisacsh
072 7 _aMAT
_x011000
_2bisacsh
072 7 _aMAT
_x003000
_2bisacsh
082 0 4 _a330.01/5195
_223
049 _aMAIN
100 1 _aLee, Lung-fei.
245 1 0 _aSpatial econometrics
_h[electronic resource] :
_bspatial autoregressive models /
_cLung-Fei Lee.
260 _aSingapore :
_bWorld Scientific,
_cc2024.
300 _a1 online resource (iii, 841 p.).
490 1 _aWorld Scientific series on econometrics and statistics ;
_vvol. 1
504 _aIncludes bibliographical references and index.
505 0 _aSpatial econometric models: model specifications and basic statistics -- Statistical estimation and testing: ML and QML methods -- The 2SLS and GMM estimation and tests of SAR models -- EL and GEL estimation and tests -- Social interactions and SAR models with rational expectations -- Static spatial panels -- Spatial dynamic panel models -- Multivariate and simultaneous SAR models and their dynamic panel models -- Nonlinear spatial econometrics and applications to some nonlinear spatial models -- SAR models with endogenous spatial weights matrices -- Intertemporal optimized SAR models -- Bayesian estimation as a classical estimation approach -- Model selection and tests for spatial econometric models -- Semiparametric spatial autoregressive Tobit model estimation -- Flows data with interactions -- QML and GMM estimation of SAR models with dominant units.
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"--
_cPublisher's website.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
650 0 _aEconometrics.
650 0 _aEconometric models.
655 0 _aElectronic books.
830 0 _aWorld Scientific series on econometrics and statistics ;
_vvol. 1.
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/13253#t=toc
_zAccess to full text is restricted to subscribers.
999 _c9972
_d9972