A simple test for stability of a spatial model

IF 1.5 3区 经济学 Q2 ECONOMICS Spatial Economic Analysis Pub Date : 2021-10-27 DOI:10.1080/17421772.2021.1949483
H. Kelejian, G. Piras
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引用次数: 2

Abstract

ABSTRACT This paper suggests a simple test to check if a spatial model’s specifications hold for the entire sample period, that is, to see if the model is stable. Our test is general in that it allows for possible unknown changes, one or more times, in the weighting matrix, in the exogenous variables and/or in the parameters. These changes may occur cross-sectionally or at unknown points in time. The test also allows for additional endogenous regressors, and the error terms are non-parametrically specified. However, if instabilities are detected, our test does not indicate which set of model components is responsible for it. Our Monte Carlo results suggest that the test has extremely high power for almost all the experiments considered. However, the size of the test is low for small sample sizes when additional endogenous regressors are part of the model.
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空间模型稳定性的简单测试
摘要本文提出了一个简单的测试来检查空间模型的规范是否在整个样本期内有效,即查看模型是否稳定。我们的测试是通用的,因为它允许加权矩阵、外生变量和/或参数中可能的未知变化一次或多次。这些变化可能发生在横断面上,也可能发生在未知的时间点上。该测试还允许额外的内生回归,并且误差项是非参数指定的。然而,如果检测到不稳定性,我们的测试并不能表明是哪组模型组件造成的。我们的蒙特卡罗结果表明,该测试对几乎所有考虑的实验都具有极高的功率。然而,当额外的内生回归因子是模型的一部分时,小样本量的测试规模较小。
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来源期刊
CiteScore
5.40
自引率
21.70%
发文量
33
期刊介绍: Spatial Economic Analysis is a pioneering economics journal dedicated to the development of theory and methods in spatial economics, published by two of the world"s leading learned societies in the analysis of spatial economics, the Regional Studies Association and the British and Irish Section of the Regional Science Association International. A spatial perspective has become increasingly relevant to our understanding of economic phenomena, both on the global scale and at the scale of cities and regions. The growth in international trade, the opening up of emerging markets, the restructuring of the world economy along regional lines, and overall strategic and political significance of globalization, have re-emphasised the importance of geographical analysis.
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