Implementation of Spatial Error Model through Maximum Likelihood

The implementation of spatial models through maximum likelihood is a great challenge due to the presence of Jacobian term in the log likelihood function. In literature, the implementation is usually performed using pseudo-likelihood. However, pseudo-likelihood doesn’t provide the consistent and efficient estimators. The present study implements the Spatial Error Model (SEM) through maximum likelihood. The maximum likelihood method provides the desirable properties like consistency, asymtotic efficiency, asymtotic normalilty and in some cases, it achieves unbiasness, Anselin (1988). The implementation through maximum likelihood is carried using Differential Evolution technique. The obtained results through maximum likelihood and pseudo-likelihood are compared and discussed

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-08-23
DOI
https://doi.org/10.52783/cana.v31.1317
Citations
1
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.21
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article

Implementation of Spatial Error Model through Maximum Likelihood

Raveena Begum
1 citations
Communications on Applied Nonlinear Analysis
Soil Geostatistics and Mapping
0.21
article

Implementation of Spatial Error Model through Maximum Likelihood

Raveena Begum
article en
1 citations

Abstract

The implementation of spatial models through maximum likelihood is a great challenge due to the presence of Jacobian term in the log likelihood function. In literature, the implementation is usually performed using pseudo-likelihood. However, pseudo-likelihood doesn’t provide the consistent and efficient estimators. The present study implements the Spatial Error Model (SEM) through maximum likelihood. The maximum likelihood method provides the desirable properties like consistency, asymtotic efficiency, asymtotic normalilty and in some cases, it achieves unbiasness, Anselin (1988). The implementation through maximum likelihood is carried using Differential Evolution technique. The obtained results through maximum likelihood and pseudo-likelihood are compared and discussed

Communications on Applied Nonlinear AnalysisVol. 31(7s)
Openalex Percentile: Top 51%
Soil Geostatistics and Mapping
0.21
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