Results 11 to 20 of about 15,517,147 (241)
A Spatial Durbin Model for Compositional Data
A 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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Panel threshold spatial Durbin models with individual fixed effects
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Wei, L, Zhang, C, Su, JJ, Yang, L
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Hourly Wage Modeling in Indonesia using Spatial Durbin Model Approach [PDF]
Hourly wage disparities in Indonesia reflect complex regional economic conditions that vary across provinces. These disparities are closely related to spatial factors, as economic conditions in one region may influence neighboring regions.
Suliyanto Suliyanto +3 more
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Robust Variable Selection with Exponential Squared Loss for the Spatial Durbin Model
With the continuous application of spatial dependent data in various fields, spatial econometric models have attracted more and more attention. In this paper, a robust variable selection method based on exponential squared loss and adaptive lasso is ...
Zhongyang Liu, Yunquan Song, Yi Cheng
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The Spatial Durbin Model and the Common Factor Tests
Abstract The spatial Durbin model occupies an interesting position in the field of spatial econometrics. It is the reduced form of a model with cross-sectional dependence in the errors and it may be used as the nesting equation in a more general approach of model selection.
Jesús Mur, Ana Angulo
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MODELING LIFE EXPECTANCY IN CENTRAL JAVA USING SPATIAL DURBIN MODEL
Central Java in 2017 was one of the provinces with high life expectancy, ranking second. Life expectancy of Central Java Province in 2017 is 74.08% per year.
Arief Rachman Hakim +2 more
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Spatial Filtering and Model Interpretation for Spatial Durbin Models [PDF]
Spatial Filter for spatial autoregressive models like the spatial Durbin Model have seen a great interest in the recent literature. Pace et al. (2011) show that the spatial filtering methods developed by Griffith (2000) have desireable estimation properties for some parameters associated with spatial autoregessive models.
Koch, Matthias
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MODELING CRIME IN EAST JAVA USING SPATIAL DURBIN MODEL REGRESSION
The high crime rate will create unrest and losses for the community. One of the provinces with high crime rates is East Java. This study aims to analyze the factors that influence criminality in East Java to ensure appropriate crime prevention and ...
Yuniar Farida +4 more
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Regional Income Convergence in India: A Bayesian Spatial Durbin Model Approach [PDF]
The discussion on regional disparity is essential for addressing politically sensitive policy issues in any federal polity. The research outcome of regional disparity analysis is, however, often ambiguous and is not robust to choice of strategies, namely β and σ convergence analysis.
Soundararajan, Pushparaj
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Background Child mortality is a major challenge to public health in Pakistan and other developing countries. Reduction of the child mortality rate would improve public health and enhance human well-being and prosperity.
Muhammad Ramzan Sheikh +5 more
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