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Modeling the spatial spread of COVID-19 in Kenya. [PDF]
Korir EK, Vizi Z.
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Expanded spatial Durbin model for analyzing stunting prevalence in Java Island
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A Spatial Durbin Model for Compositional Data
2021A compositional linear model (regression of a scalar response on a set of compositions) for areal data is proposed, where observations are not independent and present spatial autocorrelation. Specifically, we borrow thoughts from the spatial Durbin model considering that it produces unbiased coefficient estimates compared to other spatial linear ...
Huang, Tingting +2 more
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Identification of Spatial Durbin Panel Models
Journal of Applied Econometrics, 2015SummaryThis paper considers identification of spatial Durbin dynamic panel models under 2SLS and ML estimations. We show that the parameters are generally identified via 2SLS moment relations or expected log‐likelihood or quasi‐likelihood functions. Monte Carlo experiments suggest that omitting relevant Durbin terms can result in significant biases in ...
Lung‐fei Lee, Jihai Yu
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Technology spillover and TFP growth: A spatial Durbin model
International Economics, 2016Beginning with a model in which technological progress is reflected by product variety, we provide a structural approach to estimate technology spillovers allowing for spatial interdependencies. To this end, we first present a theoretical model of TFP growth by decomposing TFP into quality and variety components.
Legros, Diego +2 more
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Bayesian estimation and model selection of threshold spatial Durbin model
Economics Letters, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, Yanli, Han, Xiaoyi, Chen, Ying
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Simultaneous outlier detection and variable selection for spatial Durbin model
Brazilian Journal of Probability and Statistics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Yi, Song, Yunquan
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A deeper look at impacts in spatial Durbin model with sphet
Geographical Analysis, 2022This article focuses on the estimation of the spatial Durbin model and associated relative impacts implemented in the R library sphet. Specifically, the current version of the library offers two ways of performing inference: one based on drawing samples from a multivariate normal distribution, and the other based on an analytical formula.
Piras G, Postiglione P
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