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Testing for a structural break in the weight matrix of the spatial error or spatial lag model

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  • Ana Angulo
  • Peter Burridge
  • Jesus Mur

Abstract

Testing for a structural break in the weight matrix of the spatial error or spatial lag model. Spatial Economic Analysis. This paper studies the weight matrix in the two generic spatial econometric models, allowing the friction-of-distance parameter to be freely estimated by (Gaussian) maximum likelihood. It shows that in samples of moderate size it is perfectly feasible to estimate both the distance-decay coefficient that shapes the weights, and the usual SEM/SLM coefficient, and to test for a change in the former at an unknown change point. The procedure is easily extended to test for changes in other parameters. Tests of empirical size and power are investigated by Monte Carlo experiment, and the test is applied to a model of exchange rate pass through, with clear results.

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  • Ana Angulo & Peter Burridge & Jesus Mur, 2017. "Testing for a structural break in the weight matrix of the spatial error or spatial lag model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 161-181, July.
    • Handle: RePEc:taf:specan:v:12:y:2017:i:2-3:p:161-181
    DOI: 10.1080/17421772.2016.1264620
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    1. Angulo, Ana & Burridge, Peter & Mur, Jesús, 2018. "Testing for breaks in the weighting matrix," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 115-129.
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    3. Quintaba Pablo Aníbal & Herrera Gómez Marcos, 2023. "Spatial Weighting Matrix Estimation through Statistical Learning: Analyzing Argentinean Salary Dynamics under Structural Breaks," Asociación Argentina de Economía Política: Working Papers 4688, Asociación Argentina de Economía Política.
    4. Fernando López Hernández, 2021. "In memoriam of Professor Jesús Mur (1961–2020)," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-5, December.

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