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The Introductory Econometrics [ECON 012] Course for BA (Hons) Economics Semester IV, Delhi University has been taught by Mr. Dheeraj Suri. The Video Lectures are based upon the books prescribed by the University of Delhi. The Duration of Video Lectures is approximately 55 Hours.
Course Fee : Rs. 7000
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- Video Lectures Cover Theory Portions Exhaustively + Complete Solutions of Back Questions of readings + Solutions of Previous Years Papers + Large Number of Numericals
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Demo Lectures
Demo Test
Demo PDF
Chapter-2-Simple-Linear-RegressionExam Pattern
The Question Paper will be of 90 Marks
Examination scheme and mode shall be as prescribed by the Examination Branch, University of Delhi, from time to time.
Essential Readings
►D. N. Gujarati and D.C.Porter, Essentials of Econometrics, 4th Edition, McGraw Hill International Edition, 2010.
►Wooldridge, J. M. (2019). Introductory Econometrics : A Modern Approach. 7th edition, C engage learning.
Course Content of our Video Lectures
Lectures are Strictly as per Latest Syllabus for UGCF 2024
Unit I : Linear Regression Model
Chapter 1 : The Nature of Econometrics and Economic Data
Number Video Lectures : 1
Duration of Video Lectures : 30 Minutes
Based Upon Chapter 1 Wooldridge
Topics Covered
►Meaning of Econometrics,
►The Structure of Economic Data, Cross Sectional Data, Time Series Data, Pooled Data, Panel Data,
►Reading Back Questions
Chapter 2 : The Simple Linear Regression
Number Video Lectures : 14
Duration of Video Lectures : 710 Minutes
Based Upon Chapter 2 & Chapter 3 Gujarati
Topics Covered
►Simple Linear Regression, Classical Linear Regression Model,
►Method of Ordinary Least Squares (OLS), Properties of OLS Estimators, Derivation of OLS Estimators and their Variances,
►Gauss Markov Theorem, Efficiency of OLS Estimators,
►Standard Error of Regression,
►OLS Numericals, Proving Questions,
►Hypothesis Testing & Confidence Intervals of OLS Estimators,
►Interpreting the OLS Estimates, Economic Applications of Simple Regression,
►Coefficient of Determination (R Square), Anova Table
►Effect of Change of Scale and Change of Origin on OLS Estimators,
►Forcasting, Reverse Regression,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions,
Unit II : Multiple Regression Model
Chapter 3 : Multiple Regression Model
Number Video Lectures : 10
Duration of Video Lectures : 350 Minutes
Based Upon Chapter 4 Gujarati
Topics Covered
►Multiple Regression Model, The Regression Model with Two Independent Variables, The Regression Model with K independent Variables,
►Assumptions for Multiple Regression Model,
►OLS Estimation of a Multiple Regression Model,
►Interpreting the OLS Estimates, Economic Applications of Multiple Regression,
►Comparison of Simple & Multiple Regression Estimates,
►Effect of Change of Scale and Change of Origin on OLS Estimators,
►Measure of Goodness of Fit, R Square and Adjusted R Square,
►Hypothesis Testing for a single Regression Coefficient, Confidence Interval for a Single Regression Coefficient in Multiple Regression,
►Tests of Joint Hypotheses, F Test,
►Testing Single Restrictions Involving Multiple Coefficients,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Unit III : Functional Forms and Qualitative Independent Variables
Chapter 4 : Non Linear Models
Number Video Lectures : 10
Duration of Video Lectures : 450 Minutes
Based Upon Chapter 5 Gujarati
Topics Covered
►Double Log Model in Two Variables, Double Model in more than two Variables,
►Log Lin Model, Lin Log Model,
►Reciprocal Model,
►Polynomial Regression Model,
►Regression Through Origin Model,
►Regression on Standardized Variables,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Chapter 5 : Dummy Variables
Number Video Lectures : 7
Duration of Video Lectures : 200 Minutes
Based Upon Chapter 6 Gujarati
Topics Covered
►Meaning of Dummy Variables, Regression Model With a Quality having two Categories,
►Regression Model With a Quality having more than two Categories,
►ANCOVA Models,
►Interaction Effect, Chow Test, Dummy Variable as alternative to Chow Test,
►Measurement of Seasonal Variation,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Unit IV : Violations of Assumptions
Chapter 6 : Multicollinearity
Number Video Lectures : 2
Duration of Video Lectures : 150 Minutes
Based Upon Chapter 8 Gujarati
Topics Covered
►Consequences of Multicollinearity,
►Detection of Multicollinearity,
►Remedial Measures of Multicollinearity,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Chapter 7 : Heteroscedasticity
Number Video Lectures : 4
Duration of Video Lectures : 160 Minutes
Based Upon Chapter 9 Gujarati
Topics Covered
►Consequences of Heteroscedasticity,
►Detection of Heteroscedasticity,
►Remedial Measures of Heteroscedasticity,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Chapter 8 : Autocorrelation
Number Video Lectures : 4
Duration of Video Lectures : 160 Minutes
Based Upon Chapter 10 Gujarati
Topics Covered
►Consequences of Autocorrelation,
►Detection of Autocorrelation,
►Remedial Measures of Autocorrelation,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Unit V : Specification Bias
Chapter 9 : Model Specification Bias
Number Video Lectures : 3
Duration of Video Lectures : 120 Minutes
Based Upon Chapter 7 Gujarati
Topics Covered
►Model Selection Criteria, Types of Specification Errors,
►Underfitting Bias,
►Overfitting Bias, Incorrect Functional Forms,
►Errors of Measurement,
►Questions from recent Eco (H) Examinations,
►Reading Back Questions
Previous Year Papers (PYQ’s)
Eco (H) IV Sem : 2022
Number Video Lectures : 3
Duration of Video Lectures : 90 Minutes
Eco (H) IV Sem : 2020
Number Video Lectures : 3
Duration of Video Lectures : 110 Minutes
Eco (H) IV Sem : 2019
Number Video Lectures : 3
Duration of Video Lectures : 92 Minutes
Eco (H) IV Sem : 2018
Number Video Lectures : 2
Duration of Video Lectures : 130 Minutes
Eco (H) IV Sem : 2017
Number Video Lectures : 2
Duration of Video Lectures : 100 Minutes
BBE Sem IV 2018 Paper [89 Minutes]
Part 1 [56 Minutes]
Part 2 [33 Minutes]