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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-econometrics-theory-and-practice/
课程评论：没有评论
课程名称：计量经济学导论：理论与实践 课程概述：本课程旨在为学生提供分析经济数据、检验经济理论及在现实世界中做出明智决策所需的基本工具和知识。课程弥合了经济理论与实证分析之间的鸿沟，提供了理论概念与实践应用的平衡结合。学生将深入探讨计量经济学的核心原则，学习如何制定和估计计量经济模型，评估其有效性并得出有意义的结论。 课程内容包括简单及多元回归分析、经典线性回归模型的假设、假设检验以及模型验证的诊断测试。学生将深入理解回归分析、经典最小二乘法（OLS）的假设，并学习如何推导OLS参数及最佳线性无偏估计量（BLUE）性质的证明。课程着重强调理解计量经济模型的基本假设和局限性，以确保学生能够识别和解决常见问题，如多重共线性、异方差性、自相关以及内生性。 通过本课程的学习，学生不仅将拥有扎实的计量经济学理论基础，还将掌握应对复杂经济问题的实践技能，为在经济学、金融学和公共政策等多个领域的基于证据的决策做出贡献。
The course Introduction to Econometrics: Theory and Practice is designed to equip students with the essential tools and knowledge required to analyze economic data, test economic theories, and make informed decisions in the real world. This course bridges the gap between economic theory and empirical analysis, offering a balanced blend of theoretical concepts and hands-on practical application. Throughout the course, students will delve into the core principles of econometrics, learning how to formulate and estimate econometric models, assess their validity, and draw meaningful conclusions. Topics covered include simple and multiple regression analysis, assumptions of classical linear regression models, hypothesis testing, and diagnostic tests for model validation. Students will gain a deep understanding of regression analysis, assumptions of Ordinary Least Squares (OLS), and how to derive OLS parameters and proofs of the Best Linear Unbiased Estimators (BLUE) properties. The course places a strong emphasis on understanding the underlying assumptions and limitations of econometric models, ensuring that students can identify and address common issues such as multicollinearity, heteroscedasticity, autocorrelation, and endogeneity. By the end of this course, students will not only have a solid theoretical foundation in econometrics but also practical skills to address complex economic questions and contribute to evidence-based decision-making in various fields such as economics, finance, and public policy.
