A modified generalized estimating equation approach for simultaneous spatial durbin panel model: Case study of economic growth in ASEAN countries

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Alfira Mulya Astuti, Setiawan Setiawan, I. Zain, J. Purnomo
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Abstract

This article briefly explains the simultaneous spatial durbin panel (SSDP) model. The study of the SSDP model is substantial because it can explain the interaction between geographic units, is more informative, diverse, efficient, exhaustive, and accurate in reaching conclusions that influence the policy determination. This article’s intention is to derive a parameter estimation method from the SSDP model using a modified generalized estimating equation approach, which is then used to model economic growth in ASEAN nations. This article compares the SSDP model with rook contiguity, 2-nearest neighbors, and a customized spatial weighted matrix in relation to an independent, first-order autoregressive, exchangeable working correlation structure. To model economic growth in ASEAN countries, a customized weighted matrix with first-order autoregressive and exchangeable working correlations is chosen based on the CIC value. The parameter analysis outcomes indicate: 1) it is a significant spatial dependence among ASEAN countries; 2) it is a significant simultaneous interaction among the gross domestic product (GDP) and foreign direct investment (FDI); 3) GDP has a greater influence on FDI than FDI does on GDP; 4) The economic growth is directly affected by the labor force total; and 5) trade openness has a direct effect on FDI.
同时空间durbin面板模型的改进广义估计方程方法——以东盟国家经济增长为例
本文简要介绍了同步空间durbin面板(SSDP)模型。对SSDP模型的研究是重要的,因为它可以解释地理单位之间的相互作用,在得出影响政策决定的结论方面信息更丰富、多样化、高效、详尽和准确。本文的目的是利用一种改进的广义估计方程方法,从SSDP模型中推导出一种参数估计方法,然后将其用于模拟东盟国家的经济增长。本文将SSDP模型与车相邻、2近邻和自定义空间加权矩阵与独立的一阶自回归、可交换的工作相关结构进行比较。为了模拟东盟国家的经济增长,本文根据CIC值选择了一个一阶自回归和可交换工作相关性的定制加权矩阵。参数分析结果表明:1)东盟国家间存在显著的空间依赖性;2)国内生产总值(GDP)与外国直接投资(FDI)之间存在显著的同步互动关系;3) GDP对FDI的影响大于FDI对GDP的影响;4)劳动力总量直接影响经济增长;5)贸易开放对FDI有直接影响。
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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来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
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