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ECOLOGICAL INFERENCE AND SPATIAL HETEROGENEITY - A NEW APPROACH BASED ON ENTROPY ECONOMETRICS

机译:生态推断与空间异质性 - 一种基于熵经济学的新方法

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摘要

In this paper, we compare the results obtained by the application of three alternative methods of ecological inference. The data is on per capita household disposable income in the 50 provinces and 78 municipalities of Asturias, Spain. The first method is based on Ordinary Least Squares regression model, which assumes constancy or homogeneity. The second method is based on a spatial autocorrelation model, which assumes heterogeneity in two spatial regimes. The third method is based on a varying-coefficients model, which assumes total heterogeneity. The second model is estimated by Maximum Likelihood, whereas the latter is estimated by using Generalized Maximum or Cross Entropy.
机译:在本文中,我们比较了通过应用三种生态推理方法获得的结果。数据是西班牙阿斯图里亚斯的50个省和78个城市的人均可支配收入。第一种方法基于普通最小二乘回归模型,该模型假定恒定性或同质性。第二种方法基于空间自相关模型,该模型在两个空间状态下假设异质性。第三种方法基于可变系数模型,该模型假定总异质性。第二个模型是通过最大似然估计的,而后者是通过使用广义最大或交叉熵来估计的。

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