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Introduction to Econometrics

Indian : Rs.7080
International : $118
INTRODUCTION

This course introduces the use of econometrics to explore and estimate economic relationships using linear regression models. Extensions covering statistical complications such as heteroskedasticity, data issues such as proxy variables, and regression with time series data will also be included. Practical computer applications feature throughout. The course will give students a basic understanding of methods required to model the inter-relationship between variables and prepare them for further studies of econometric methods.

OBJECTIVE

To learn the basic concepts of theoretical econometrics and how to solve the problems that may arise during estimation, using several models and methods.

POTENTIAL CAREER
  • Public or Private sector
  • Economist
  • Analyst
  • Business Sector
  • Financial Sector
CONTENT
  • Ordinary Least Squares and the Simple Linear Regression Model
  • Endogenous Regressors and Instrumental Variables
  • The Simple Linear Regression Model
  • Statistical Inference and the Classical Linear Regression Model
  • The Classical Linear Regression Model
  • Confidence Intervals and Hypothesis Tests in the Simple CLR Model
  • Using the CLR Model
  • The multiple Classical Linear Regression model
  • Multicollinearity
  • Functional form
  • Dummy variables
  • The measurement of gender discrimination
  • Heteroskedasticity
  • Serial correlation: testing and estimation
CONTENT MODE

PDF, Moodle Books.

REQUIREMENTS

Introduction to Probability & Statistics and Introduction to Economics.

WHAT AM I ABLE TO GET OUT OF THIS COURSE

Learn how the basic concept of theoretical econometrics.

ADDITIONAL SUPPORT

Additional reading will be given to students.

Frequently Asked Questions

What is the level of the course?
This is an undergraduate course.

Will I get any credits?
You will get 15 credits.

Is there any assessment?
Yes.

What is the duration?
4 months for full time students and 8 months for part time students.

What is the study mode of this course?

Full time or Part time.

What is the delivery mode of this course?

Fully online.

When can I start this course?

Anytime.

Can I finish this program earlier?

No.

Can I contact the professor in this course?

Yes, through the platform.

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