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Predication in a Generalized Spatial Panel Data Model with Serial Correlation

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Abstract

This paper considers the generalized spatial panel data model with serial correlation proposed by Lee and Yu (2012) which encompasses a lot of the spatial panel data models considered in the literature, and derives the best linear unbiased predictor (BLUP) for that model. This in turn provides valuable BLUP for several spatial panel models as special cases.

Suggested Citation

  • Badi Baltagi & Long Liu, 2016. "Predication in a Generalized Spatial Panel Data Model with Serial Correlation," Center for Policy Research Working Papers 188, Center for Policy Research, Maxwell School, Syracuse University.
    • Handle: RePEc:max:cprwps:188
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    File URL: https://surface.syr.edu/cpr/219/
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    Cited by:

    1. Xianning WANG & Jingrong DONG & Zhi XIAO & Guanjie HE, 2019. "A novel spatial mixed frequency forecasting model with application to Chinese regional GDP," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 54-77, June.

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    Keywords

    Prediction; Panel Data; Fixed Effects; Random Effects; Serial Correlation; Spatial Error Correlation;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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