東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Spatial econometrics /

Kelejian, Harry,

Linked to FindBook

Google Book

Amazon

博客來

Spatial econometrics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spatial econometrics // Harry Kelejian, Gianfranco Piras.
Author:	Kelejian, Harry,
other author:	Piras, Gianfranco,
Description:	1 online resource
[NT 15003449]:	Front Cover; Spatial Econometrics; Copyright; Contents; List of Empirical Illustrations; List of Figures; List of Tables; Preface; Acknowledgements; 1 Spatial Models: Basic Issues; 1.1 Illustrations Involving Spatial Interactions; 1.2 Concept of a Neighbor and the Weighting Matrix; 1.3 Some Different Ways to Specify Spatial Weighting Matrices; 1.4 Typical Weighting Matrices in Computer Studies; Suggested Problems; 2 Specification and Estimation; 2.1 The General Model; 2.1.1 Triangular Arrays; 2.1.2 Geršgorin's Theorem and Weighting Matrices.
[NT 15003449]:	3 Spillover Effects in Spatial Models3.1 Effects Emanating From a Given Unit; 3.2 Emanating Effects of a Uniform Worsening of Fundamentals; 3.3 Vulnerability of a Given Unit to Spillovers; Suggested Problems; 4 Predictors in Spatial Models; 4.1 Preliminaries on Expectations; 4.2 Information Sets and Predictors of the Dependent Variable; 4.3 Mean Squared Errors of the Predictors; Suggested Problems; 5 Problems in Estimating Weighting Matrices; 5.1 The Spatial Model; 5.2 Shortcomings of Selection Based on R2; 5.3 An Extension to Nonlinear Spatial Models.
[NT 15003449]:	5.4 R2 Selection in the Multiple Panel Case Suggested Problems; 6 Additional Endogenous Variables: Possible Nonlinearities; 6.1 Introductory Comments; 6.2 Identi cation and Estimation: A Linear System; 6.3 A Corresponding Nonlinear Model; 6.4 Estimation in the Nonlinear Model; 6.5 Large Sample and Related Issues; 6.6 Generalizations and Special Points to Note; 6.7 Applications to Spatial Models; 6.8 Problems With MLE; Suggested Problems; 7 Bayesian Analysis; 7.1 Introductory Comments; 7.2 Fundamentals of the Bayesian Approach; 7.3 Learning and Prejudgment Issues.
[NT 15003449]:	7.4 Comments on Uninformed Priors7.5 Applications and Limiting Cases; 7.6 Properties of the Multivariate t; 7.7 Useful Sampling Procedures in Bayesian Analysis; 7.8 The Spatial Lag Model and Gibbs Sampling; 7.9 Bayesian Posterior Odds and Model Selection; 7.10 Problems With the Bayesian Approach; Suggested Problems; 8 Pretest and Sample Selection Issues in Spatial Analysis; 8.1 Introductory Comments; 8.2 A Preliminary Result; 8.3 Illustrations; 8.4 Mean Squared Errors; 8.5 Pretesting in Spatial Models: Large Sample Issues; 8.6 Final Comments on Pretesting; 8.7 A Related Issue: Data Selection.
Subject:	Econometrics. -
Online resource:	https://www.sciencedirect.com/science/book/9780128133873
ISBN:	9780128133927

Spatial econometrics /
Kelejian, Harry,

Spatial econometrics /Harry Kelejian, Gianfranco Piras. - 1 online resource

Includes bibliographical references and index.

Front Cover; Spatial Econometrics; Copyright; Contents; List of Empirical Illustrations; List of Figures; List of Tables; Preface; Acknowledgements; 1 Spatial Models: Basic Issues; 1.1 Illustrations Involving Spatial Interactions; 1.2 Concept of a Neighbor and the Weighting Matrix; 1.3 Some Different Ways to Specify Spatial Weighting Matrices; 1.4 Typical Weighting Matrices in Computer Studies; Suggested Problems; 2 Specification and Estimation; 2.1 The General Model; 2.1.1 Triangular Arrays; 2.1.2 Geršgorin's Theorem and Weighting Matrices.

Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and 'need' for, models which define spatial interactions, the book provides a comprehensive framework for almost every major facet of modern science. Subjects covered at length include spatial regression models, weighting matrices, estimation procedures and the complications associated with their use. The work particularly focuses on models of uncertainty and estimation under various complications relating to model specifications, data problems, tests of hypotheses, along with systems and panel data extensions which are covered in exhaustive detail. Extensions discussing pre-test procedures and Bayesian methodologies are provided at length. Throughout, direct applications of spatial models are described in detail, with copious illustrative empirical examples demonstrating how readers might implement spatial analysis in research projects. Designed as a textbook and reference companion, every chapter concludes with a set of questions for formal or self--study. Finally, the book includes extensive supplementing information in a large sample theory in the R programming language that supports early career econometricians interested in the implementation of statistical procedures covered.

ISBN: 9780128133927Subjects--Topical Terms:

542934
Econometrics.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HB139

Dewey Class. No.: 330.01/5195

Spatial econometrics /
LDR:04922cmm a2200325 i 4500 001 2185732
006 m o d
007 cr |n|||||||||
008 200116s2017 enk ob 001 0 eng d
020 $a 9780128133927 $q (electronic bk.)
020 $a 0128133929 $q (electronic bk.)
020 $a 9780128133873
035 $a (OCoLC)995034725 $z (OCoLC)994643320 $z (OCoLC)995320183 $z (OCoLC)1002911678
035 $a els69900576
040 $a YDX $b eng $e rda $c YDX $d N$T $d IDEBK $d EBLCP $d N$T $d OCLCQ $d OCLCF $d OPELS $d MERER $d OCLCQ $d OCLCO $d UPM $d NLE
041 0 $a eng
050 4 $a HB139
082 0 4 $a 330.01/5195 $2 23
100 1 $a Kelejian, Harry, $e author. $3 3399168
245 1 0 $a Spatial econometrics / $c Harry Kelejian, Gianfranco Piras.
264 1 $a London, United Kingdom : $b Academic Press, $c [2017]
300 $a 1 online resource
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
504 $a Includes bibliographical references and index.
505 0 $a Front Cover; Spatial Econometrics; Copyright; Contents; List of Empirical Illustrations; List of Figures; List of Tables; Preface; Acknowledgements; 1 Spatial Models: Basic Issues; 1.1 Illustrations Involving Spatial Interactions; 1.2 Concept of a Neighbor and the Weighting Matrix; 1.3 Some Different Ways to Specify Spatial Weighting Matrices; 1.4 Typical Weighting Matrices in Computer Studies; Suggested Problems; 2 Specification and Estimation; 2.1 The General Model; 2.1.1 Triangular Arrays; 2.1.2 Geršgorin's Theorem and Weighting Matrices.
505 8 $a 3 Spillover Effects in Spatial Models3.1 Effects Emanating From a Given Unit; 3.2 Emanating Effects of a Uniform Worsening of Fundamentals; 3.3 Vulnerability of a Given Unit to Spillovers; Suggested Problems; 4 Predictors in Spatial Models; 4.1 Preliminaries on Expectations; 4.2 Information Sets and Predictors of the Dependent Variable; 4.3 Mean Squared Errors of the Predictors; Suggested Problems; 5 Problems in Estimating Weighting Matrices; 5.1 The Spatial Model; 5.2 Shortcomings of Selection Based on R2; 5.3 An Extension to Nonlinear Spatial Models.
505 8 $a 5.4 R2 Selection in the Multiple Panel Case Suggested Problems; 6 Additional Endogenous Variables: Possible Nonlinearities; 6.1 Introductory Comments; 6.2 Identi cation and Estimation: A Linear System; 6.3 A Corresponding Nonlinear Model; 6.4 Estimation in the Nonlinear Model; 6.5 Large Sample and Related Issues; 6.6 Generalizations and Special Points to Note; 6.7 Applications to Spatial Models; 6.8 Problems With MLE; Suggested Problems; 7 Bayesian Analysis; 7.1 Introductory Comments; 7.2 Fundamentals of the Bayesian Approach; 7.3 Learning and Prejudgment Issues.
505 8 $a 7.4 Comments on Uninformed Priors7.5 Applications and Limiting Cases; 7.6 Properties of the Multivariate t; 7.7 Useful Sampling Procedures in Bayesian Analysis; 7.8 The Spatial Lag Model and Gibbs Sampling; 7.9 Bayesian Posterior Odds and Model Selection; 7.10 Problems With the Bayesian Approach; Suggested Problems; 8 Pretest and Sample Selection Issues in Spatial Analysis; 8.1 Introductory Comments; 8.2 A Preliminary Result; 8.3 Illustrations; 8.4 Mean Squared Errors; 8.5 Pretesting in Spatial Models: Large Sample Issues; 8.6 Final Comments on Pretesting; 8.7 A Related Issue: Data Selection.
520 $a Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and 'need' for, models which define spatial interactions, the book provides a comprehensive framework for almost every major facet of modern science. Subjects covered at length include spatial regression models, weighting matrices, estimation procedures and the complications associated with their use. The work particularly focuses on models of uncertainty and estimation under various complications relating to model specifications, data problems, tests of hypotheses, along with systems and panel data extensions which are covered in exhaustive detail. Extensions discussing pre-test procedures and Bayesian methodologies are provided at length. Throughout, direct applications of spatial models are described in detail, with copious illustrative empirical examples demonstrating how readers might implement spatial analysis in research projects. Designed as a textbook and reference companion, every chapter concludes with a set of questions for formal or self--study. Finally, the book includes extensive supplementing information in a large sample theory in the R programming language that supports early career econometricians interested in the implementation of statistical procedures covered.
650 0 $a Econometrics. $3 542934
650 0 $a Space in economics. $3 527889
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Piras, Gianfranco, $e author. $3 3399169
856 4 0 $u https://www.sciencedirect.com/science/book/9780128133873