Quantitative Methods [ECON 019]

Welcome to Prime Academy

We provide Best Online Coaching for

DSC 19 : Quantitative Methods [ECON 019]

for Economics (H) Semester VII, University of Delhi

Join Best Online Coaching for Economics (H) Semester VII, Delhi University 2025 at Prime Academy under the guidance of our highly experieced teacher Mr. Dheeraj Suri, (an expert faculty teaching Economics for over 25 years).

To get access of our Online Coaching Program for Quantitative Methods [ECON 019], Economics (H) Semester VII, Delhi University 2025, you need to Subscribe our course. 

If you are not registered at our website then Register Here.

(After Registration Inform us at +91 9899 192027 to get the access)

If you are already registered & have got the access then LOGIN Here to start studying

Register
Login
Reading List
Click Here for Reading List of Quantitative Methods
Exam Pattern

  • For the final exam, it was decided that students would have to do a total of 6 questions out of 7. Each question would carry 15 marks and have at most 2 parts.

  • Internal assessment would be as per DU guidelines.

Demo Lectures

ECON 019 :
Quantitative Methods Lecture 1

Topic : Causality

ECON 019 :
Quantitative Methods Lecture 2

Topic : Causality

ECON 019 :
Quantitative Methods Lecture 3

Topic : Causality

ECON 019 :
Quantitative Methods Lecture 4

Topic : Causality

Course Content

Lectures are Strictly as per the Latest Syllabus of 2025

Unit I : Methods of Causal Inferences

Chapter 1 :

Randomized Trials

Chapter 3 :

Regression Discontinuity Designs

Chapter 2 : 

Instrumental Variables

Chapter 4 : 

Differences – in – Differences

Chapter 5 :

Matching & Subclassification

Unit II : Regression with Panel Data and Regression with Binary Dependent Variables

Chapter 6:

Regression with Panel Data

Chapter 7 :

Regression with a Binary Dependdent Variable

Chapter 8: 

Prediction with Many Regressiors and Big Data

Unit III : Analysis of Time Series Data

Chapter 9: 

Introduction to Time Series Regression and Forcasting

Unit IV : Data Collection, Textual Data, Network Data and Spatial Data

Chapter 10 : 

Survey Sampling

Chapter 11 : 

How to Run Surveys