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Simple diagnostic tests for spatial dependence
In this paper we propose simple diagnostic tests, based on ordinary least-squares (OLS) residuals, for spatial error autocorrelation in the presence of a spatially lagged dependent variable and for spatial lag dependence in the presence of spatial error autocorrelation, applying the modified Lagrang...
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Published in: | Regional science and urban economics 1996-02, Vol.26 (1), p.77-104 |
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container_title | Regional science and urban economics |
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creator | Anselin, Luc Bera, Anil K. Florax, Raymond Yoon, Mann J. |
description | In this paper we propose simple diagnostic tests, based on ordinary least-squares (OLS) residuals, for spatial error autocorrelation in the presence of a spatially lagged dependent variable and for spatial lag dependence in the presence of spatial error autocorrelation, applying the modified Lagrange multiplier (LM) test developed by Bera and Yoon (
Econometric Theory, 1993, 9, 649–658). Our new tests may be viewed as computationally simple and robust alternatives to some existing procedures in spatial econometrics. We provide empirical illustrations to demonstrate the usefulness of the proposed tests. The finite sample size and power performance of the tests are also investigated through a Monte Carlo study. The results indicate that the adjusted LM tests have good finite sample properties. In addition, they prove to be more suitable for the identification of the source of dependence (lag or error) than their unadjusted counterparts. |
doi_str_mv | 10.1016/0166-0462(95)02111-6 |
format | article |
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Econometric Theory, 1993, 9, 649–658). Our new tests may be viewed as computationally simple and robust alternatives to some existing procedures in spatial econometrics. We provide empirical illustrations to demonstrate the usefulness of the proposed tests. The finite sample size and power performance of the tests are also investigated through a Monte Carlo study. The results indicate that the adjusted LM tests have good finite sample properties. In addition, they prove to be more suitable for the identification of the source of dependence (lag or error) than their unadjusted counterparts.</description><identifier>ISSN: 0166-0462</identifier><identifier>EISSN: 1879-2308</identifier><identifier>DOI: 10.1016/0166-0462(95)02111-6</identifier><identifier>CODEN: RGUEA3</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Dependency ; Econometric models ; Economic Theory ; General Economics ; Lagrange multiplier tests ; Local misspecification ; MGS ; Monte Carlo studies ; Regression analysis ; Spatial autocorrelation ; Specification tests ; Staathuishoudkunde</subject><ispartof>Regional science and urban economics, 1996-02, Vol.26 (1), p.77-104</ispartof><rights>1996</rights><rights>Copyright Elsevier Sequoia S.A. Feb 1996</rights><rights>Wageningen University & Research</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c568t-7d9d20ad1f05fe86f3688c513158fda53fdeda4d6131fd0b064ac6e1a77eda043</citedby><cites>FETCH-LOGICAL-c568t-7d9d20ad1f05fe86f3688c513158fda53fdeda4d6131fd0b064ac6e1a77eda043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27900,27901,33199,33200</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/eeeregeco/v_3a26_3ay_3a1996_3ai_3a1_3ap_3a77-104.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Anselin, Luc</creatorcontrib><creatorcontrib>Bera, Anil K.</creatorcontrib><creatorcontrib>Florax, Raymond</creatorcontrib><creatorcontrib>Yoon, Mann J.</creatorcontrib><title>Simple diagnostic tests for spatial dependence</title><title>Regional science and urban economics</title><description>In this paper we propose simple diagnostic tests, based on ordinary least-squares (OLS) residuals, for spatial error autocorrelation in the presence of a spatially lagged dependent variable and for spatial lag dependence in the presence of spatial error autocorrelation, applying the modified Lagrange multiplier (LM) test developed by Bera and Yoon (
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source | International Bibliography of the Social Sciences (IBSS); ScienceDirect Freedom Collection; Worldwide Political Science Abstracts |
subjects | Dependency Econometric models Economic Theory General Economics Lagrange multiplier tests Local misspecification MGS Monte Carlo studies Regression analysis Spatial autocorrelation Specification tests Staathuishoudkunde |
title | Simple diagnostic tests for spatial dependence |
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