A Robust LM Test for Spatial Error Components

This paper presents previous termanext term modified previous termLM test of spatial error components,next term which is shown to be previous termrobustnext term against distributional misspecifications and previous termspatialnext term layouts. The proposed previous termtestnext term differs from t...

Full description

Saved in:
Bibliographic Details
Main Author: YANG, Zhenlin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/187
https://ink.library.smu.edu.sg/context/soe_research/article/1186/viewcontent/YangZ_RSUE2010.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.soe_research-1186
record_format dspace
spelling sg-smu-ink.soe_research-11862014-07-22T07:13:21Z A Robust LM Test for Spatial Error Components YANG, Zhenlin This paper presents previous termanext term modified previous termLM test of spatial error components,next term which is shown to be previous termrobustnext term against distributional misspecifications and previous termspatialnext term layouts. The proposed previous termtestnext term differs from the previous termLM testnext term of Anselin (2001) by previous termanext term term in the denominators of the previous termtestnext term statistics. This term disappears when either the previous termerrorsnext term are normal, or the variance of the diagonal elements of the product of previous termspatialnext term weights matrix and its transpose is zero or approaches to zero as sample size goes large. When neither is true, as is often the case in practice, the effect of this term can be significant even when sample size is large. As previous termanext term result, there can be severe size distortions of the Anselin's previous termLM test, anext term phenomenon revealed by the Monte Carlo results of Anselin and Moreno (2003) and further confirmed by the Monte Carlo results presented in this paper. Our Monte Carlo results also show that the proposed previous termtestnext term performs well in general. 2010-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/187 info:doi/10.1016/j.regsciurbeco.2009.10.001 https://ink.library.smu.edu.sg/context/soe_research/article/1186/viewcontent/YangZ_RSUE2010.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Distributional misspecifications LM tests Robustness Spatial error components Spatial layouts Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Distributional misspecifications
LM tests
Robustness
Spatial error components
Spatial layouts
Econometrics
spellingShingle Distributional misspecifications
LM tests
Robustness
Spatial error components
Spatial layouts
Econometrics
YANG, Zhenlin
A Robust LM Test for Spatial Error Components
description This paper presents previous termanext term modified previous termLM test of spatial error components,next term which is shown to be previous termrobustnext term against distributional misspecifications and previous termspatialnext term layouts. The proposed previous termtestnext term differs from the previous termLM testnext term of Anselin (2001) by previous termanext term term in the denominators of the previous termtestnext term statistics. This term disappears when either the previous termerrorsnext term are normal, or the variance of the diagonal elements of the product of previous termspatialnext term weights matrix and its transpose is zero or approaches to zero as sample size goes large. When neither is true, as is often the case in practice, the effect of this term can be significant even when sample size is large. As previous termanext term result, there can be severe size distortions of the Anselin's previous termLM test, anext term phenomenon revealed by the Monte Carlo results of Anselin and Moreno (2003) and further confirmed by the Monte Carlo results presented in this paper. Our Monte Carlo results also show that the proposed previous termtestnext term performs well in general.
format text
author YANG, Zhenlin
author_facet YANG, Zhenlin
author_sort YANG, Zhenlin
title A Robust LM Test for Spatial Error Components
title_short A Robust LM Test for Spatial Error Components
title_full A Robust LM Test for Spatial Error Components
title_fullStr A Robust LM Test for Spatial Error Components
title_full_unstemmed A Robust LM Test for Spatial Error Components
title_sort robust lm test for spatial error components
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/soe_research/187
https://ink.library.smu.edu.sg/context/soe_research/article/1186/viewcontent/YangZ_RSUE2010.pdf
_version_ 1770569061555503104