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Model Boosting for Spatial Weighting Matrix Selection in Spatial Lag Models

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  • Philip Kostov

    (Lancashire Business School, University of Central Lancashire, Greenbank Building, Preston PR1 2HE, England)

Abstract

The spatial lag specification is often used in spatial econometrics. The choice of an appropriate spatial weighting matrix is an important outstanding methodological problem in the quantitative spatial dependence literature. This paper proposes applying a component-wise model-boosting algorithm to deal with the issue of the choice of a spatial weighting matrix amongst a predetermined set of alternatives. The resulting procedure is computationally simple and easy to implement. I present an empirical application of the proposed methodology. Some possible extensions to a more general setting are discussed.

Suggested Citation

  • Philip Kostov, 2010. "Model Boosting for Spatial Weighting Matrix Selection in Spatial Lag Models," Environment and Planning B, , vol. 37(3), pages 533-549, June.
    • Handle: RePEc:sae:envirb:v:37:y:2010:i:3:p:533-549
    DOI: 10.1068/b35137
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    5. Chen, Na & Jin, Xiu & Zhuang, Xintian & Yuan, Ying, 2020. "Spatial pricing with multiple risk transmission channels and specific factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
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    7. Wang, Yiyi & Kockelman, Kara M. & Xiaokun (Cara) Wang, Xiaokun (Cara) Wang, 2013. "The impact of weight matrices on parameter estimation and inference: A case study of binary response using land-use data," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 75-85.
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    11. Takafumi Kato, 2020. "Likelihood-based strategies for estimating unknown parameters and predicting missing data in the simultaneous autoregressive model," Journal of Geographical Systems, Springer, vol. 22(1), pages 143-176, January.
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    13. James P. LeSage & R. Kelley Pace, 2014. "The Biggest Myth in Spatial Econometrics," Econometrics, MDPI, vol. 2(4), pages 1-33, December.
    14. Schmidtner, Eva & Lippert, Christian & Dabbert, Stephan, 2015. "Does Spatial Dependence Depend on Spatial Resolution? – An Empirical Analysis of Organic Farming in Southern Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.
    15. Rahal, Charles, 2019. "A Grid Based Approach to Analysing Spatial Weighting Matrix Specification," SocArXiv nt2yq, Center for Open Science.
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