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계량 경제학(으)로 돌아가기

HSE 대학의 계량 경제학 학습자 리뷰 및 피드백

11개의 평가
3개의 리뷰

강좌 소개

This course is part of HSE University Master of Business Analytics and Master of Finance degree programs. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program <a href="">here</a> (Master of Business Analytics) and here (Quantitative Finance) The course builds essential skills necessary for economic, business or financial analysis. The purpose of the course is to give students solid and extended skills in both econometric tools and their application to contemporary economic problems. We will learn both theoretical foundations and practical aspects of the main econometric topics: ordinary least squares as a core approach of linear regression analysis, the choice of the model specification, dealing with main problems of econometric analysis such as multicollinearity, heteroscedasticity, autocorrelation and endogeneity. After the course, you will be able to perform your own economic data analysis based on the understanding of described econometrics tools. You will learn how to apply the indicated tools and methods to various topics of your research and how to prevent and overcome problems, which can arise in real data analysis....
필터링 기준:

계량 경제학의 3개 리뷰 중 1~3

교육 기관: Danilo C P

2021년 7월 21일

Good course, but it needs some improvements: the ppt files of classes should be provided, and the commands of the R Programming classes should be provided.

교육 기관: Shamari B

2021년 8월 7일

The course is filled with great information but the professor lack of enthusiasm and analogies' makes the course extremely difficult. Econometrics is really hard and none mathematical examples are needed. I found myself going to youtube to help facilitate my understanding more. Deriving the formulas are nice but teaching the bigger picture and the underlining thought process helps the learning process.

교육 기관: Ritik C

2021년 11월 7일

No background information on the basics provided. No reasons for various parameters provided. Steps skipped. Highly unresourceful