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Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models

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  • Harald Badinger
  • Peter Egger

Abstract

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM) estimation procedure of the spatial autoregressive parameters of the disturbance process and define a generalized two-stages least squares estimator for the regression parameters of the model. We prove consistency of the proposed estimators, derive their joint asymptotic distribution, and provide Monte Carlo evidence on their small sample performance.

Suggested Citation

  • Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo.
    • Handle: RePEc:ces:ceswps:_2556
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    References listed on IDEAS

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    Cited by:

    1. Harald Badinger & Peter Egger, 2011. "Estimation of spatial autoregressive M-way error component panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 269-310, October.
    2. Oleksandr Shepotylo, 2012. "Spatial complementarity of FDI: the example of transition countries," Post-Communist Economies, Taylor & Francis Journals, vol. 24(3), pages 327-349, October.
    3. Harald Badinger & Peter Egger, 2010. "Horizontal vs. Vertical Interdependence in Multinational Activity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 744-768, December.

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    More about this item

    Keywords

    higher-order spatial dependence; generalized moments estimation; two-stages least squares; asymptotic statistics;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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