Estimation Problems in Models with Spatial Weighting Matrices Which Have Blocks of Equal Elements

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Dynamic spatial panels: models, methods, and inferences (2012, unknown): “By contrast, in a panel data setting, this spatial weights matrix causes no problems, provided that time-period effects are not included (see Kelejian and Prucha 2002; Kelejian et al. 2006).”
Global corruption and the shadow economy: spatial aspects (2014, methodology): “In order to obtain consistent estimates in the presence of spatial dynamics, a number of estimation techniques have been employed, including instrumental variables (IV) (Kelejian et al. 2006; Kelejian and Prucha 1998), maximum likelihood estimation (MLE), and general method of moments (GMM) (Conley ”
Human Capital Spillovers, Productivity and Regional Convergence in Spain (2009, unknown): “One advantage of ML procedures over the Instrumental Variables/Generalized Method of Moments (IV/GMM) proposed by Kelejian et al. (2006) is that the latter usually have to include spatially lagged independent variables, a requirement that would not allow us to test the influence of spatial…”
Inference on Higher-Order Spatial Autoregressive Models with Increasingly Many Parameters (2015, unknown): “(5.2) This model extends that of Kelejian, Prucha, and Yuzefovich (2006), and was employed by Yuzefovich (2003).”