"Nothing is difficult to learn, it was just badly explained to you. So, change your resources, not your goals.

Features:

• Recorded Lectures

• Complete Syllabus Coverage

• Each lecture will start from Basics

• Comprehensive Coverage of Syllabus and Exam Oriented Preperation

• Course Instructor: Ravit Thukral, Lecturer at St. Stephens College, DU | DSE Alumnus

Course Fee: Course is completely free.

Course Link: Click Here

Whatsapp Group: Click to Join

SYLLABUS

UNIT I: Linear Regression Model

OLS method of Estimation and Properties of estimators, Measures of Fit, Testing of Hypotheses, Prediction, Introduction to econometric software and practical application using econometric software (GRETL/EViews/ R/Stata/EXCELetc.)

UNIT II: Multiple Regression Model

OLS method of estimation and Properties of OLS estimators, Testing of Hypotheses, Measures of fit, practical application using econometric software (GRETL/EViews/ R/Stata/EXCEL etc.)

UNIT III: Functional Forms and Qualitative independent variables

Nonlinear Models and Transformations of Variables, Dummy variables, practical application using econometric software (GRETL/EViews/ R/Stata/EXCEL etc.)

UNIT IV: Violations of Assumptions

Consequences, Detection, and Remedies: Multicollinearity, Heteroscedasticity, Serial Correlation, practical application using econometric software (GRETL/EViews/R/Stata/EXCEL etc.)

UNIT V: Specification Bias

Model selection criteria, types of specification errors, omitted variable bias, inclusion of irrelevant variables, incorrect functional form, errors of measurement, practical application using econometric software (GRETL/EViews/ R/Stata/EXCEL etc.)