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BA Economics (H) Semester IV
Introductory Econometrics ( ECON - 012 )
Join Best Online Coaching for Introductory Econometrics (Econ – 012) for BA Economics (H) Semester IV, Delhi University 2026Ā at Prime Academy under the guidance of our highly experieced teacher Mr. Dheeraj Suri, (an expert faculty teaching Economics for over 25 years).
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Quick Links for Introductory Econometrics
TheĀ Introductory Econometrics ( ECON – o12 ) Course for BA Economics (H) 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.
š»š„Ā Ā Full Course Video Lectures : Unlock the ultimate learning experience with our Full Course Video Lectures that explain every concept clearly and in depth. Our video lectures cover everything ā
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Ā All theory portions explained in detail
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Ā Complete solutions for end-of-chapter questions
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Ā Fully solved previous year papers
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Ā A huge collection of numerical problems for thorough practice
šĀ Ā PDF Notes : Youāll also get Complete Study Material (PDF Notes) packed with:
Ā Ā Ā Ā ā Ā Key concepts explained in simple language
Ā Ā Ā Ā ā Ā Previous Year Questions from Last 20 Year Papers
Ā Ā Ā Ā ā Ā Practice Numericals & MCQs
Ā Ā Ā Ā ā Ā A curated list of Important Questions for your exams
āš»Ā Live Online Classes : Stay on top of your preparation with Live Online Doubt-Solving Sessions with expert faculty at least twice a week, ensuring you never stay stuck.
āļøšĀ Ā Online Discussion Forum : Engage with peers and mentors in our Online Discussion Forum ā post queries, share ideas, and learn together.
šĀ Mock Test : Test yourself with Regular Mock Tests hosted right on our website to track your progress and improve consistently.
āš»Comprehensive Coverage of Syllabus and Exam Oriented PreparationĀ
šÆĀ This online coaching platform aims to provide a supportive and engaging learning environment for students to achieve academic success and excel in their Economics (Honours) program.
Recomended Readings
1. D. N. Gujarati and D.C.Porter, Essentials of Econometrics, 4th Edition, McGraw Hill International Edition, 2010.Ā
2. Wooldridge, J. M. (2019). Introductory Econometrics : A Modern Approach. 7th edition, C engage learning.Ā
Chapter 1 :Ā Econometrics Introduction
Chapter 2 : Simple Linear regression
Lecture 1 : Simple Linear Regression Introduction
Lecture 2 : Simple Linear Regression (OLS)
Lecture 3 : Classical Linear regression Model
Lecture 4 : Gauss Markov Theorem
Chapter 3 : Multiple Linear Regression
Previous Year Questions (PYQ’s)
Introductory Econometrics PYQ 2025
Q2 PYQ 2025Ā
Q3 PYQ 2025Ā
Ā These Lectures are only for Demo
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Contact us at +91 9899 192027 for details
Ā These PDF Notes are only for Demo
For Complete Course PDF Notes you need to Subscribe Our Course
Contact us at +91 9899 192027 for details
Ā These Mock Tests are only for Demo
For Complete Course Mock Test Series you need to Subscribe Our Course
Contact us at +91 9899 192027 for details
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.
Course Fee is Rs. 8,000 per subject
Upon receipt of Course Fee, we will activate your account on our website.
Once you get Access you need to login and download our APP and all the lectures from your login account and play in your device.
Access of Video Lectures is provided on any one of the following devices :
Windows Computer or Laptop or,
Android Phone or Tablet or,
Apple Iphone or Ipad or,
Apple Macbook
Till end of Semester IV Exams
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Course Content of our Video Lectures
Lectures are Strictly as per Latest Syllabus for UGCF 2026
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
āŗMeaning of Econometrics,
āŗThe Structure of Economic Data, Cross Sectional Data, Time Series Data, Pooled Data, Panel Data,
āŗReading 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
āŗSimple Linear Regression, Classical Linear Regression Model,
āŗMethod of Ordinary Least Squares (OLS), Properties of OLS Estimators, Derivation of OLS Estimators and their Variances,
āŗGauss Markov Theorem, Efficiency of OLS Estimators,
āŗStandard Error of Regression,
āŗOLS Numericals, Proving Questions,
āŗHypothesis Testing & Confidence Intervals of OLS Estimators,
āŗInterpreting the OLS Estimates, Economic Applications of Simple Regression,
āŗCoefficient of Determination (R Square), Anova Table
āŗEffect of Change of Scale and Change of Origin on OLS Estimators,
āŗForcasting, Reverse Regression,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions,
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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
āŗMultiple Regression Model, The Regression Model with Two Independent Variables, The Regression Model with K independent Variables,
āŗAssumptions for Multiple Regression Model,
āŗOLS Estimation of a Multiple Regression Model,
āŗInterpreting the OLS Estimates, Economic Applications of Multiple Regression,
āŗComparison of Simple & Multiple Regression Estimates,
āŗEffect of Change of Scale and Change of Origin on OLS Estimators,
āŗMeasure of Goodness of Fit, R Square and Adjusted R Square,
āŗHypothesis Testing for a single Regression Coefficient, Confidence Interval for a Single Regression Coefficient in Multiple Regression,
āŗTests of Joint Hypotheses, F Test,
āŗTesting Single Restrictions Involving Multiple Coefficients,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
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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
āŗDouble Log Model in Two Variables, Double Model in more than two Variables,
āŗLog Lin Model, Lin Log Model,
āŗReciprocal Model,
āŗPolynomial Regression Model,
āŗRegression Through Origin Model,
āŗRegression on Standardized Variables,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
Chapter 5 : Dummy Variables
Number Video Lectures : 7
Duration of Video Lectures : 200 Minutes
Based Upon Chapter 6 Gujarati
Topics Covered
āŗMeaning of Dummy Variables, Regression Model With a Quality having two Categories,
āŗRegression Model With a Quality having more than two Categories,
āŗANCOVA Models,
āŗInteraction Effect, Chow Test, Dummy Variable as alternative to Chow Test,
āŗMeasurement of Seasonal Variation,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
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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
āŗConsequences of Multicollinearity,
āŗDetection of Multicollinearity,
āŗRemedial Measures of Multicollinearity,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
Chapter 7 : Heteroscedasticity
Number Video Lectures : 4
Duration of Video Lectures : 160 Minutes
Based Upon Chapter 9 Gujarati
Topics Covered
āŗConsequences of Heteroscedasticity,
āŗDetection of Heteroscedasticity,
āŗRemedial Measures of Heteroscedasticity,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
Chapter 8 : Autocorrelation
Number Video Lectures : 4
Duration of Video Lectures : 160 Minutes
Based Upon Chapter 10 Gujarati
Topics Covered
āŗConsequences of Autocorrelation,
āŗDetection of Autocorrelation,
āŗRemedial Measures of Autocorrelation,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
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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
āŗModel Selection Criteria, Types of Specification Errors,
āŗUnderfitting Bias,
āŗOverfitting Bias, Incorrect Functional Forms,
āŗErrors of Measurement,
āŗQuestions from recent Eco (H) Examinations,
āŗReading Back Questions
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Previous Year Papers (PYQ’s)
Eco (H) IV Sem : 2024
Number Video Lectures : 3
Duration of Video Lectures : 90 Minutes
Eco (H) IV Sem : 2023
Number Video Lectures : 3
Duration of Video Lectures : 110 Minutes
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
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BBE Sem IV 2018 Paper [89 Minutes]
Part 1 [56 Minutes]
Part 2 [33 Minutes]
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Quick Links forĀ BA Economics (Hons) Semester IV Subjects
Discipline Specific Core Subjects
ā¶ Intermediate Micro Economics – II
ā¶ Intermediate Macro Economics – II
ā¶ Introductory Econometrics
Generic Elective Subjects
GE : Linear Programming
GE : Basic Econometrics
GE : Applied Statistics
GE : Elements of Analysis
Please ensure that you register yourself at the website before you buy any course
Please ensure that you register yourself at the website before you buy any course
Please ensure that you register yourself at the website before you buy any course
Please ensure that you register yourself at the website before you buy any course
