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A matrix exponential spatial specification approach to panel data models

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  • Calebe Figueiredo

  • Alan Silva

Abstract

This paper extends the matrix exponential spatial specification to panel data models. The matrix exponential spatial panel specification produces estimates and inferences comparable to those from conventional spatial panel models, but has computational advantages. We present maximum likelihood approach to the estimation of this spatial model specification and compare the results with the fixed effects spatial autoregressive panel model. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Calebe Figueiredo & Alan Silva, 2015. "A matrix exponential spatial specification approach to panel data models," Empirical Economics, Springer, vol. 49(1), pages 115-129, August.
    • Handle: RePEc:spr:empeco:v:49:y:2015:i:1:p:115-129
    DOI: 10.1007/s00181-014-0862-2
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    References listed on IDEAS

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    1. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    2. LeSage, James P. & Kelley Pace, R., 2007. "A matrix exponential spatial specification," Journal of Econometrics, Elsevier, vol. 140(1), pages 190-214, September.
    3. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
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    Cited by:

    1. Que, Wei & Zhang, Yabin & Liu, Shaobo, 2018. "The spatial spillover effect of fiscal decentralization on local public provision: Mathematical application and empirical estimation," Applied Mathematics and Computation, Elsevier, vol. 331(C), pages 416-429.
    2. Zhang, Yuanqing & Feng, Shuhui & Jin, Fei, 2019. "QML estimation of the matrix exponential spatial specification panel data model with fixed effects and heteroskedasticity," Economics Letters, Elsevier, vol. 180(C), pages 1-5.

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