• Corpus ID: 88517216

Low rank spatial econometric models

@article{Murakami2018LowRS,
  title={Low rank spatial econometric models},
  author={Daisuke Murakami and Hajime Seya and Daniel A. Griffith},
  journal={arXiv: Methodology},
  year={2018}
}
This article presents a re-structuring of spatial econometric models in a linear mixed model framework. To that end, it proposes low rank spatial econometric models that are robust to the existence of noise (i.e., measurement error), and can enjoy fast parameter estimation and inference by Type II restricted likelihood maximization (empirical Bayes) techniques. The small sample properties of the proposed low rank spatial econometric models are examined using Monte Carlo simulation experiments… 
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