用sphet对空间Durbin模型的影响进行更深入的研究

IF 3.3 3区地球科学 Q1 GEOGRAPHY

Geographical Analysis Pub Date : 2022-01-10 DOI:10.1111/gean.12318

Gianfranco Piras, Paolo Postiglione

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引用次数: 3

摘要

本文的重点是对空间Durbin模型的估计以及在R库环境中实现的相关影响。具体来说，该库的当前版本提供了两种执行推理的方法:一种基于从多变量正态分布中提取样本，另一种基于分析公式。通过大量的蒙特卡罗实验，比较了这两种方法的性能。作为一种可以用sphet进行的分析的例证，文章还提出了一个观察意大利各省经济增长的实证应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A deeper look at impacts in spatial Durbin model with sphet

This 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. The performance of these two methods is compared using an extensive Monte Carlo experiment. As an illustration of the kind of analysis that can be performed with sphet, the article also presents an empirical application looking at economic growth of Italian provinces.

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来源期刊

Geographical Analysis GEOGRAPHY-

CiteScore

8.70

自引率

5.60%

发文量

期刊介绍： First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.