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所在平台: Udemy |
课程主页: https://www.udemy.com/course/eviews-basics-importing-and-estimating-data/
课程评论：没有评论
## Eviews基础：数据导入与估计（Coursera课程总结） 本课程旨在教授学员使用Eviews软件进行经济学数据处理和回归分析。课程内容涵盖了经济学中常用的数据类型，并通过实例演示如何从世界发展指标（WDI）等来源下载数据，并将时间序列、横截面和面板数据导入Eviews。 课程的核心内容包括： * **数据准备与导入：** 学习识别和下载经济学中常用的数据类型，以及如何将不同格式的数据（时间序列、横截面、面板数据）高效导入Eviews。 * **普通最小二乘法（OLS）估计与解释：** 深入理解OLS回归模型，掌握数据的估计过程，并学会如何解释回归结果。 * **经典线性回归模型（CLRM）假设：** 阐述CLRM的各项基本假设，并提供参考资料供学员进一步深入理解。 * **模型诊断与修正：** 重点讲解如何检测和处理自相关和异方差问题，并演示使用Jorque Bera检验进行正态性检验。 课程强调实践操作，所有步骤均通过实际演示进行讲解，确保学员能够掌握并应用到未来的职业生涯中。特别是在数据下载方面，课程会指导学员如何从可靠来源获取所需数据。本课程致力于为学员打下坚实的Eviews基础，提升其在经济学研究和实践中的数据分析能力。
In this course, you will learn:Types of Data in EconomicsDownloading data from World Development Indicators (WDI)Importing Time series, Cross-sectional and Panel Data into EviewsEstimating and Interpreting OLSAssumptions of Classical Linear Regression Model (CLRM)Detection and Removal of AutocorrelationDetection and Removal of HeteroskedasticityNormality using Jorque Bera testI have created this course in such a manner that if you follow the videos in a sequential manner and then connect the quizzes and assignment with the videos, you will have a great benefit in your professional career.There are many types of data in economics, but in this course, I have only mentioned and discussed those data types which are mostly used for estimation and prediction when it comes to economics.When it comes to downloading data, it is an easy yet very difficult task because most of the students don't know from where and how they should download data. Therefore it is also discussed how and from where you can download data.In this course, each and every step is discussed, not only discussed, but I have shown them practically. So it will be beneficial for the learners to apply them in future life.'In the assumption of classical linear regression model, I have just discussed the assumptions and have given reference books for more understandings.
