We propose in this article a novel estimation method named the approximate least squares estimation, for spatial autoregressive models with covariates. The ...
Due to the rapid development of social network sites, the spatial autoregressive model with covariates has been popularly applied in real practice.
Abstract: Due to the rapid development of social network sites, the spatial autoregressive model with covariates has been popularly applied in real practice.
Title A Naive Least Squares Method for Spatial Autoregression with Covariates. Manuscript ID SS-2017-0135. URL http://www.stat.sinica.edu.tw/statistica/.
Abstract: Due to the rapid development of various social networks, the spatial autoregressive (SAR) model is becoming an important tool in social.
May 18, 2024 · Spatial autoregressive model (SAR) is found useful to estimate the social autocorrelation in social networks recently. However, the rapid ...
Generalized Spatial two stage least squares coefficient estimates of δ and GM estimator for ρ. var variance-covariance matrix of the estimated coefficients.
This study addresses the problem of parameter estimation in spatial autoregressive models with missing data and measurement errors in covariates.
Missing: Approximate | Show results with:Approximate
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The purpose of this paper is to suggest an estimation procedure for cross sectional spatial models which contain a spatially lagged dependent variable as well ...
We used the generalized spatial two-stage least-squares (GS2SLS) estimator. The GS2SLS estimator lets us fit multiple spatial lags, potentially allowing us to ...