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Properties of Tests for Spatial Dependence in Linear Regression Models

Bibliographic Data

ID23320970
AuthorsLuc Anselin (0000-0003-1076-2220, University of California, Santa Barbara), Serge Rey (0000-0002-7967-9188), Sergio Rey (0000-0001-5857-9762, University of California, Santa Barbara)
Year1991
Volume23
Issue2
Pages112-131
Publication date1991-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeographical Analysis (JOURNAL)
Journal identifiersISSN: 0016-7363 • E-ISSN: 1538-4632
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1538-4632.1991.tb00228.x
OpenAlexW2026618473
LanguageEN
Citations received183
References cited49

Based on a large number of Monte Carlo simulation experiments on a regular lattice, we compare the properties of Moran's I and Lagrange multiplier tests for spatial dependence, that is, for both spatial error autocorrelation and for a spatially lagged dependent variable. We consider both bias and power of the tests for six sample sizes, ranging from twenty‐five to 225 observations, for different structures of the spatial weights matrix, for several underlying error distributions, for misspecified weights matrices, and for the situation where boundary effects are present. The results provide an indication of the sample sizes for which the asymptotic properties of the tests can be considered to hold. They also illustrate the power of the Lagrange multiplier tests to distinguish between substantive spatial dependence (spatial lag) and spatial dependence as a nuisance (error autocorrelation).

Autocorrelation · Lag · Lagrange multiplier · Mathematical optimization · Monte Carlo method · Physics · Sample size determination · Spatial analysis · Spatial dependence · Statistical physics · Statistics · Applied Mathematics · Computer Science · Housing Market and Economics · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

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Unique citing works183
Citations per year5,38
Citation span1992 - 2026 (35)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 169

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