Estimation of the Spatial Weights Matrix under Structural Constraints

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The Slx Model (2015, methodology): “W)−1 before W is row-normalized should be uniformly bounded 22Recent studies building upon this approach in a spatial panel data framework using nonparametric methods include Beenstock and Felsenstein (2012) and Bhattacharjee and Jensen-Butler (2013).”
Two-Step Lasso Estimation of the Spatial Weights Matrix (2015, methodology): “Bhattacharjee and Jensen-Butler [5] propose an estimator that provides exact identification under the assumption that the spatial weights matrix is symmetric and n is fixed.”
Estimation and Selection of Spatial Weight Matrix in a Spatial Lag Model (2019, background): “For instance, Bhattacharjee and Jensen-Butler (2013) proposed to estimate the spatial weight matrix under the symmetric constraint, although they assume N to be finite.”