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所在平台: Udemy |
课程主页: https://www.udemy.com/course/basic-introductory-econometrics-solved-questions/
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课程名称：计量经济学：解题与数学证明 课程概述：‘计量经济学：解题与数学证明’是针对任何大学层次学习初级计量经济学的学生设计的课程。许多学生反馈这门课程“清晰且结构良好”（Johnson Nyella），“非常有帮助，每当我对概念有疑问时，我会查看这门课程，问题的解答非常有效”（Ananya Nath）。许多学生即使理解了计量经济学的概念，仍然面临连接知识点的困难，导致在考试中出现混淆和错误。该课程旨在帮助学生建立扎实的计量经济学基础，避免这种困惑，从而在考试中取得优异成绩。 课程内容包括对以下主题的考试风格问题的解答： - 假设检验与置信区间 - p值 - 检验的效能 - 简单线性回归 - OLS估计量的计算 - OLS估计量的解释 - 回归的标准误差（SER） - R平方 - 多元线性回归与不同的函数形式 - 调整后的R平方与R平方 - F检验与t检验 - 不同函数形式中OLS估计量的解释 - 虚拟变量 - 虚拟变量的使用与解释 - 虚拟变量陷阱 - 多重共线性 - 完全多重共线性 - 不完全多重共线性 - 还有更多主题！ 课程附带： - 30天退款保证 - Q&A部分的支持 - 如果遇到问题可以随时提问！ 希望你能享受这门课程！ —— Shubham
'Econometrics: Solved Questions and Mathematical Proofs' is a course for anyone studying Introductory Econometrics at University Level.What other students are saying about this course?''Clear and well organised course'' - Johnson Nyella''This is surely very helpful. Whenever I have some doubt regarding concepts, I go through this course and the questions help a lot'' - Ananya NathMost of the times, even if students understand the Econometrics concepts, they struggle with connecting the dots. Consequently, they end up getting confused and make silly mistakes in the exam. This course can help you in building a strong foundation of Econometrics so that you could avoid that confusing state of mind and ace your exam. This course contains solutions to exam style questions for the following topics: Hypothesis Testing and Confidence Intervals• p-value• Power of TestSimple Linear Regression• Calculation of OLS estimators• Interpretation of OLS estimators • Standard Error of Regression (SER)• R-squaredMultiple Linear Regression and Different Functional Forms • Adjusted R2 and R2• F-test and t-test• Interpretation of OLS estimators in different functional formsDummy Variables • Working with Dummy Variables and interpretaion• Dummy Variable TrapMulticollinearity• Perfect multicollinearity • Imperfect multicollinearity AND MANY MORE TOPICS!! This course comes with:A 30 day money-back guarantee.Support in the Q & A section - ask me if you get stuck!I really hope you enjoy this course!Shubham
