Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension

Gupta, A. & Robinson, P. M. (2017). Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension. Journal of Econometrics, https://doi.org/10.1016/j.jeconom.2017.05.019
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Pseudo maximum likelihood estimates are developed for higher-order spatial autoregressive models with increasingly many parameters, including models with spatial lags in the dependent variables both with and without a linear or nonlinear regression component, and regression models with spatial autoregressive disturbances. Consistency and asymptotic normality of the estimates are established. Monte Carlo experiments examine finite-sample behaviour

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