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The stationarity conditions for a spatial first-order and serial second-order model in the presence of time-lagged spatial interactions are discussed. The stationarity conditions for serial autoregressive parameters were found on the basis of the structural vector autoregression form of the...
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Composite Marginal Likelihood (CML) has become a popular approach for estimating spatial probit models. However, for spatial autoregressive specifications the existing brute-force implementations are infeasible in large samples as they rely on inverting the high-dimensional precision matrix of...
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