Course11010509361 lectures
Engineering Econometrics
Prof. Rudra P Pradhan · IIT Kharagpur
Lectures
MODULE 1
- Lecture 1 : Introduction to Engineering Econometrics
- Lecture 2 : Introduction to Engineering Econometrics (Contd.)
- Lecture 3 : Introduction to Engineering Econometrics (Contd.)
- Lecture 4: Introduction to Engineering Econometrics (Contd.)
- Lecture 5 : Introduction to Engineering Econometrics (Contd.)
MODULE 2
- Lecture 6 : Exploring Data on Spreadsheets
- Lecture 7 : Exploring Data on Spreadsheets (Contd.)
- Lecture 8 : Exploring Data on Spreadsheets (Contd.)
- Lecture 9 : Exploring Data on Spreadsheets (Contd.)
- Lecture 10 : Exploring Data on Spreadsheets (Contd.)
MODULE 3
- Lecture 11 : Descriptive Econometrics
- Lecture 12 : Descriptive Econometrics (Contd.)
- Lecture 13 : Descriptive Econometrics (Contd.)
- Lecture 14 : Descriptive Econometrics (Contd.)
- Lecture 15 : Descriptive Econometrics (Contd.)
MODULE 4
- Lecture 16 : Linear Regression Modelling
- Lecture 17 : Linear Regression Modelling (Contd.)
- Lecture 18 : Linear Regression Modelling (Contd.)
- Lecture 19 : Linear Regression Modelling (Contd.)
- Lecture 20 : Linear Regression Modelling (Contd.)
MODULE 5
- Lecture 21 : Linear Regression Modelling (Contd.)
- Lecture 22 : Linear Regression Modelling (Contd.)
- Lecture 23 : Modelling Diagnostics
- Lecture 24 : Modelling Diagnostics (Contd.)
- Lecture 25 : Modelling Diagnostics (Contd.)
MODULE 6
- Lecture 26: Multicolinearity problem III
- Lecture 27 : Autocorrelation problem I
- Lecture 28 : Autocorrelation problem II
- Lecture 29 :Heteroskedasticity problem I
- Lecture 30 : Heteroskedasticity problem II
MODULE 7
- Lecture 31: Model Specification- Choosing the Independent Variables
- Lecture 32: Model Specification- Choosing the Independent Variables
- Lecture 33 : Non-Linear Regression Modelling- Dummy-Variable Regression Modelling
- Lecture 34 : Non-Linear Regression Modelling- Interactive Regression Modelling
- Lecture 35 : Non-Linear Regression Modelling- Polynomial (Curvilinear) Regression Model
MODULE 8
- Lecture 36 : Non-Linear Regression Modelling _Model Transformation
- Lecture 37 : Extension of Dummy Regression Modelling
- Lecture 38 : Extension of Dummy Regression Modelling- Dummy Independent Variable Modelling
- Lecture 39 : Extension of Dummy Regression Modelling- Dummy Dependent Variable Modelling
- Lecture 40 : Extension of Dummy Regression Modelling- Dummy Independent Variable Modelling
MODULE 9
- Lecture 41: Time Series Modelling- Basics
- Lecture 42: Time Series Modelling- Trend Analysis
- Lecture 43: Time Series Modelling- Trend Analysis (Least Squares Method)
- Lecture 44: Time Series Modelling- Forecasting
- Lecture 45: Time Series Modelling- Stationarity
MODULE 10
- Lecture 46 : Time Series Modelling- Volatility Modelling
- Lecture 47 : Time Series Modelling- Volatility Modelling
- Lecture 48 : Time Series Modelling- Volatility Modelling
- Lecture 49 : Time Series Modelling- Volatility Modelling
- Lecture 50 : Time Series Modelling- Volatility Modelling
MODULE 11
- Lecture 51 : Time Series Modelling- VAR modelling
- Lecture 52: Time Series Modelling- VAR modelling y
- Lecture 53: Panel Data Modelling
- Lecture 54 : Panel Data Modelling (Contd.)
- Lecture 55 : Panel Data Modelling (Contd.)
MODULE 12
- Lecture 56 : Panel Data Modelling
- Lecture 57 : Fitting Models to Data
- Lecture 58 : Fitting Models to Data (Contd.)
- Lecture 59 : Fitting Models to Data (Contd.)
- Lecture 60 : Fitting Models to Data (Contd.)
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Management
- Teacher
- Prof. Rudra P Pradhan
- Level
- Undergraduate
- 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
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