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.)