用自动化技术估计和预测增长模型:一个跨国分析

Nasir Mahmood
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引用次数: 0

摘要

潜在变量的选择是一个非常重要的问题。在这项研究中,六种增长模型被用于分析43个国家的经济增长的主要决定因素。因此,通过使用这六个模型,我们通过现代收缩程序自动测试了所有潜在的变量。1980年至2020年的数据用于分析跨国增长因素。目前的研究考察了大约43个国家,在增长模型的基础上对这些不同的比较研究进行了建模。通过评估数据并使用现代计量经济学技术自动化,使用不同的经济变量集来评估哪些经济变量集对提高一个国家的增长水平是重要的。并发现变量商品和服务出口(LNREXP)、固定资本形成总额(lnngcf)、国内投资总额(DI)、总劳动力(LNTLF)的现值和滞后性值都很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating and Forecasting the Growth Model by Automatrics Technique: A Cross Country Analysis
The selection of a potential variable is issues of great concern. In this study six growth models have been used for analyzing the main determinants of economic growth in case of 43 cross countries analysis. Therefore, by using these six models we have tested all the potential variables through modern shrinkage procedure automatrics. Data from 1980 to 2020 were used to analyze the cross country growth factors. Current study looked at about 43 countries with modeling these different comparative studies based on growth modeling By evaluating the data and using the modern econometrics technique automatrics, different sets of economic variables has been used to evaluate which sets of the economic variables are important to boost up the growth level of the country. And found variable exports of goods and services (LNREXP) gross fixed capital formation (LNGCF) .Domestic investment (DI),Total labor force (LNTLF) current and lag values found highly.
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