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Lecture 5 : Introduction to Engineering Econometrics (Contd.)
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Engineering Econometrics
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- 1 Engineering Econometrics by Prof. Rudra P Pradhan
- 2 Lecture 1 : Introduction to Engineering Econometrics
- 3 Lecture 2 : Introduction to Engineering Econometrics (Contd.)
- 4 Lecture 3 : Introduction to Engineering Econometrics (Contd.)
- 5 Lecture 4 : Introduction to Engineering Econometrics (Contd.)
- 6 Lecture 5 : Introduction to Engineering Econometrics (Contd.)
- 7 Lecture 6 : Exploring Data on Spreadsheets
- 8 Lecture 7 : Exploring Data on Spreadsheets (Contd.)
- 9 Lecture 8 : Exploring Data on Spreadsheets (Contd.)
- 10 Lecture 9 : Exploring Data on Spreadsheets (Contd.)
- 11 Lecture 10 : Exploring Data on Spreadsheets (Contd.)
- 12 Lecture 11 : Descriptive Econometrics
- 13 Lecture 12 : Descriptive Econometrics (Contd.)
- 14 Lecture 13 : Descriptive Econometrics (Contd.)
- 15 Lecture 14 : Descriptive Econometrics (Contd.)
- 16 Lecture 15 : Descriptive Econometrics (Contd.)
- 17 Lecture 16 : Linear Regression Modelling
- 18 Lecture 17 : Linear Regression Modelling (Contd.)
- 19 Lecture 18 : Linear Regression Modelling (Contd.)
- 20 Lecture 19 : Linear Regression Modelling (Contd.)
- 21 Lecture 20 : Linear Regression Modelling (Contd.)
- 22 Lecture 21 : Linear Regression Modelling (Contd.)
- 23 Lecture 22 : Linear Regression Modelling (Contd.)
- 24 Lecture 23 : Modelling Diagnostics
- 25 Lecture 24 : Modelling Diagnostics (Contd.)
- 26 Lecture 25 : Modelling Diagnostics (Contd.)
- 27 Lecture 26 : Multicolinearity problem (Contd.)
- 28 Lecture 27 : Autocorrelation problem
- 29 Lecture 28 : Autocorrelation problem (Contd.)
- 30 Lecture 29 : Heteroskedasticity problem
- 31 Lecture 30 : Heteroskedasticity problem (Contd.)
- 32 Lecture 31 : Model Specification- Choosing the Independent Variables
- 33 Lecture 32 : Model Specification- Choosing the Independent Variables (Contd.)
- 34 Lecture 33 : Non-Linear Regression Modelling- Dummy-Variable Regression Modelling
- 35 Lecture 34 : Non-Linear Regression Modelling- Interactive Regression Modelling
- 36 Lecture 35 :Non-Linear Regression Modelling- Polynomial (Curvilinear) Regression Model
- 37 Lecture 36 : Non-Linear Regression Modelling _Model Transformation
- 38 Lecture 37 : Extension of Dummy Regression Modelling
- 39 Lecture 38 : Extension of Dummy Regression Modelling- Dummy Independent Variable Modelling
- 40 Lecture 39 : Extension of Dummy Regression Modelling- Dummy Dependent Variable Modelling
- 41 Lecture 40 : Extension of Dummy Regression Modelling- Dummy Independent Variable Modelling
- 42 Lecture 41 : Time Series Modelling- Basics
- 43 Lecture 42 : Time Series Modelling- Trend Analysis
- 44 Lecture 43 : Time Series Modelling- Trend Analysis (Least Squares Method)
- 45 Lecture 44 : Time Series Modelling- Forecasting
- 46 Lecture 45 : Time Series Modelling- Stationarity
- 47 Lecture 46 : Time Series Modelling- Volatility Modelling
- 48 Lecture 47 : Time Series Modelling- Volatility Modelling (Contd.)
- 49 Lecture 48 : Time Series Modelling- Volatility Modelling (Contd.)
- 50 Lecture 49 : Time Series Modelling- Volatility Modelling (Contd.)
- 51 Lecture 50 : Time Series Modelling- Volatility Modelling (Contd.)
- 52 Lecture 51 : Time Series Modelling- VAR modelling
- 53 Lecture 52: Time Series Modelling- VAR modelling y
- 54 Lecture 53: Panel Data Modelling
- 55 Lecture 54 : Panel Data Modelling (Contd.)
- 56 Lecture 55 : Panel Data Modelling (Contd.)
- 57 Lecture 56 : Panel Data Modelling
- 58 Lecture 57 : Fitting Models to Data
- 59 Lecture 58 : Fitting Models to Data (Contd.)
- 60 Lecture 59 : Fitting Models to Data (Contd.)
- 61 Lecture 60 : Fitting Models to Data (Contd.)
