Applied Econometrics

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 Applied Econometrics for Economics (H) Semester V

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The Applied Econometrics – I Course for BA (Hons) Economics Semester V, 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 40 Hours.

Course Fee : Rs. 7,000

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  • Full Course Video Lectures
  • Complete Study Material (PDF Notes) which includes Concepts, Previous Year Questions, Numerical Questions, MCQ’s and Important Questions
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  • Live online Doubts Sessions for resolution of Doubts
  • Mock Tests at the Website
  • Video Lectures Cover Theory Portions Exchaustively + Complete Solutions of Back Questions of readings + Solutions of Previous Years Papers + Large Number of Numericals

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Dheeraj Suri

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Axis Bank, Model Town Branch

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IFS Code : UTIB0000392

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Demo Lectures

Matrix Approach to Linear Regression, Lecture #1
Matrix Approach to Linear Regression, Lecture #2

Exam Pattern

Students will have to pass the end-semester exam and the total of the internal assessment and end-semester exam as per university rules to clear the paper.
The end-semester final examination will be of 75 marks. The question paper will consist of seven questions of 15 marks each from Topics I, II, III and IV only. Students will have to answer any five questions.
The software skills of the students will be tested by the teachers during internal assessment and not in the end-semester final exam. The paper setting committee should take a note of this.
Internal assessment will be of 25 marks, divided further as follows:

  1. Attendance: 5 marks
  2. Class Test/ Assignment: 10 marks
  3. Empirical project using the econometric software learnt: 10 marks. (Projects can be done
    in groups of 2 or 3)

Click Here for Reading List of Applied Econometrics

Course Content of Our Video Lectures

Lectures are as per the Latest Syllabus for 2023

Topic – I : Stages in Empirical Econometric Research

Chapter 1 : Nature of Econometric Analysis [22 Minutes]

Based Upon Gujrati, Chapter 1.3

Number of Lectures  1 Lectures

Total Duration of Lectures  22 Minutes

Chapter 2 : Review of Simple & Multiple Linear Regression [266 Minutes]

These Lectures are for Revision of Sem 4 Topics

Number of Lectures   4 Lectures

Total Duration of Lectures  266 Minutes

Topic – II : The Linear Regression Model : Estimation, Specification and Diagnostic Testing

Chapter 3 :Matrix Approach to Linear Regression [125 Minutes]

Based Upon Gujrati, Appendix – C

Number of Lectures  4 Lectures

Total Duration of Lectures  125 Minutes

Chapter 4 : Functional Forms [437 Minutes]

Based Upon Gujrati, Chapter 2

Number of Lectures   9 Lectures

Total Duration of Lectures  437 Minutes

Chapter 5 :Dummy Variables [194 Minutes]

Based Upon Gujrati, Chapter 3

Number of Lectures  7 Lectures

Total Duration of Lectures  194 Minutes

Chapter 6 : Multicollinearity [113 Minutes]

Based Upon Gujrati, Chapter 4

Number of Lectures   2 Lectures

Total Duration of Lectures  113 Minutes

Chapter 7 :Heteroscedasticity [146 Minutes]

Based Upon Gujrati, Chapter 5

Number of Lectures  4 Lectures

Total Duration of Lectures  146 Minutes

Chapter 8 : Autocorrelation [149 Minutes]

Based Upon Gujrati, Chapter 6

Number of Lectures   4 Lectures

Total Duration of Lectures  149 Minutes

Chapter 9 : Econometric Modelling [165 Minutes]

Based Upon Gujrati, Chapter 13

Number of Lectures  4 Lectures

Total Duration of Lectures  165 Minutes

Topic – III : Advance Topics in Regression Analysis

Chapter 10 : Dynamic Econometric Models [139 Minutes]

Based Upon Gujrati, Chapter 17

Number of Lectures  5 Lectures

Total Duration of Lectures  139 Minutes

Chapter 11 : Instrumental Variables [79 Minutes]

Based Upon Wooldridge, Chapter 15

Number of Lectures   4 Lectures

Total Duration of Lectures  79 Minutes

Chapter 12 : Simultaneous Equations [90 Minutes]

Based Upon Gujrati, Chapter 18

Number of Lectures  2 Lectures

Total Duration of Lectures  90 Minutes

Topic – IV : Panel Data Models

Chapter 13 : Panel Data [120 Minutes]

Based Upon Gujrati, Chapter 16

Number of Lectures  3 Lectures

Total Duration of Lectures  120 Minutes

Topic – V : Limited Dependent Variables

Chapter 14 : Logit and Probit Models [100 Minutes]

Based Upon Gujrati, Chapter 15

Number of Lectures  2 Lectures

Total Duration of Lectures  120 Minutes

Previous Year Papers

2018 [110 Minutes]

Number of Lectures  3 Lectures

Total Duration of Lectures  100 Minutes

2017 Paper [106 Minutes]

Number of Lectures   4 Lectures

Total Duration of Lectures  106 Minutes

End of Syllabus

Course Description

Applied Econometrics (HE55)

Discipline Specific Elective (DSE) Credit: 6

Course Objective

The course assumes that students have a basic knowledge of statistics, mathematics as well as basic econometric theory. It builds on the compulsory Introductory Econometrics course and teaches students a broad set of commonly used econometric methods. These include estimating models with limited dependent variables and the use of instrumental variables to estimate models with endogenous regressors.

Course Learning Outcomes

Students will learn the theoretical basis for techniques widely used in empirical research and consider their application in a wide range of problems

Unit 1

Stages in empirical econometric research

Unit 2

The linear regression model: estimation, specification and diagnostic testing: estimation, specification and inference

Unit 3

Advanced topics in regression analysis: dynamic econometric models, instrumental variable estimation, measurement errors

Unit 4

Panel data models and estimation techniques: pooled regression, fixed and random effects models

Unit 5

Limited dependent variables: logit and probit models for binary responses, tobit models for truncated data.

Unit 6

Introduction to econometric software; publicly available data sets and software will be used to estimate models and apply the techniques learned in class

References

  1. Gujarati, D. (2014). Econometrics by example, 2nd ed. Palgrave Macmillan.33
  2. Gujarati, D., Porter, D. (2012). Basic econometrics, 5th ed. McGraw-Hill.
  3. Wooldridge, J. (2014). Introduction to econometrics: A modern approach, 5th ed. Cengage Learning