Course11010715340 lectures
Econometric Modelling
Prof. Sujata Kar · IIT Roorkee
About
This course is designed to give the students an exposure to the basic concepts of econometrics. However, the basic content also attempts to cover parts of time series analysis.
The course is structured to be primarily theoretical with an aim to provide an understanding of the mechanism, mathematics and economics behind the tools and techniques used. The concepts will be explained with examples using mostly MS Excel.
The course will have the advantage of developing a strong theoretical background which would help the students to better understand applicability of various methods and tools in different economic contexts or scenarios.
INTENDED AUDIENCE : MA (economics) & MBA
PREREQUISITES : Any graduates with basic mathematical knowledge or mathematics till 12th standard.
INDUSTRY SUPPORT : Companies that are into data analytics or market research would value this course.
Lectures
Week 1
- An Overview
- Formulation of Econometric Modelling
- Review of Basic Concepts-I
- Review of Basic Concepts-II
- Types of Data
Week 2
- Simple Regression- I
- Simple Regression- II
- Assumptions of Classical Linear Regression
- Properties of OLS Estimators
- Hypothesis Testing
Week 3
- Multiple Regression-I
- Multiple Regression-II
- Multiple Regression-III
- Problems of Multicollinearity
- Omitted Variables & Parameter Stability-I
- Omitted Variables & Parameter Stability- II
- Problem of Heteroscedasticity- I
- Problem of Heteroscedasticity- II
Week 4
Week 5
- Problem of Serial Correlation-I
- Problem of Serial Correlation-II
- MA & ARMA Processes- I
- AR, MA & ARMA Processes- II
- Modelling Trend & Seasonal Variations- I
- Modelling Trend & Seasonal Variations- II
Week 6
- Spline function & Categorical Variables
- Linear Probability Model
- Probit and Logit Models
- Tobit and Multinomial Logit Models
Week 7
- Panel Data Methods
- Simultaneous Equation System-I
- Simultaneous Equations System- II
- Introduction to VARs
Week 8
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Roorkee
- Department
- Management
- Teacher
- Prof. Sujata Kar
- Level
- Graduate
- Language
- English
- Subjects
- Business and management
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed