#9 Classical Linear Regression Model | Part 3 | Introduction to Econometrics

#9 Classical Linear Regression Model | Part 3 | Introduction to Econometrics

30.929 Lượt nghe
#9 Classical Linear Regression Model | Part 3 | Introduction to Econometrics
Welcome to 'Introduction to Econometrics' course ! This lecture continues the discussion on the ten assumptions of the CLRM, emphasizing that these assumptions describe an ideal situation where the estimates exhibit desirable properties. The lecture explains that these assumptions are necessary to ensure the reliability of the estimates and their applicability for policy purposes. It covers the following assumptions: The number of parameters to be estimated should be much less than the total number of observations in the sample. The model should include all relevant variables. The error variance should be constant (homoscedasticity). NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/130106001 #CLRMAssumptions #IdealisticSituation #SampleSize