View Economics View All Subject Basic Econometrics Topic-Wise Notes 1. Nature and Scope of Econometrics; Methodology of Econometric Research Probability and Scope of Econometrics 1. Sample Spaces and Events 2. Probability Axioms and Properties 3. Counting Techniques 4. Conditional Probability and Bayes Rule; Independence 5. Random Variables 6. Probability Distributions 7. Expected Values and Probability Functions 8. Properties of Commonly used Discrete and Continuous Distributions 9. Binomial, Poison and Normal Distribution 10. Chi-Square, t, F Testing of Hypothesis 1. Defining Statistical Hypothesis: Types and Steps in Testing Hypothesis 2. Distribution of Test Statistics 3. Testing Hypothesis Related to Population Parameters 4. Type I and Type II Errors 5. Power of a Test 6. Test for Comparing Parameters for two Sample Simple Linear Regression Model 1. Estimation of model by Ordinary Least Square: Assumptions & Properties 2. Goodness of fit-R Square 3. Gauss-Markov Theorem 4. Testing of Regression Coefficient 5. Maximum Likelihood Estimation Violation of the CLRM Assumptions 1. Multicollinearity, Heteroscedasticity & Autocorrelation: Causes, Consequences, Detection and Remedies Subjective Q&A 1. Nature and Scope of Econometrics; Methodology of Econometric Research Probability and Scope of Econometrics 1. Sample Spaces and Events 2. Probability Axioms and Properties 3. Counting Techniques 4. Conditional Probability and Bayes Rule; Independence 5. Random Variables 6. Probability Distributions 7. Expected Values and Probability Functions 8. Properties of Commonly used Discrete and Continuous Distributions 9. Binomial, Poison and Normal Distribution 10. Chi-Square, t, F Testing of Hypothesis 1. Defining Statistical Hypothesis: Types and Steps in Testing Hypothesis 2. Distribution of Test Statistics 3. Testing Hypothesis Related to Population Parameters 4. Type I and Type II Errors 5. Power of a Test 6. Test for Comparing Parameters for two Sample Simple Linear Regression Model 1. Estimation of model by Ordinary Least Square: Assumptions & Properties 2. Goodness of fit-R Square 3. Gauss-Markov Theorem 4. Testing of Regression Coefficient 5. Maximum Likelihood Estimation Violation of the CLRM Assumptions 1. Multicollinearity, Heteroscedasticity & Autocorrelation: Causes, Consequences, Detection and Remedies
