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Engineering Econometrics by Prof. Rudra P Pradhan

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.)

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.)

Lecture 11 : Descriptive Econometrics

Lecture 12 : Descriptive Econometrics (Contd.)

Lecture 13 : Descriptive Econometrics (Contd.)

Lecture 14 : Descriptive Econometrics (Contd.)

Lecture 15 : Descriptive Econometrics (Contd.)

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.)

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.)

Lecture 26 : Multicolinearity problem (Contd.)

Lecture 27 : Autocorrelation problem

Lecture 28 : Autocorrelation problem (Contd.)

Lecture 29 : Heteroskedasticity problem

Lecture 30 : Heteroskedasticity problem (Contd.)

Lecture 31 : Model Specification- Choosing the Independent Variables

Lecture 32 : Model Specification- Choosing the Independent Variables (Contd.)

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

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

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

Lecture 46 : Time Series Modelling- Volatility Modelling

Lecture 47 : Time Series Modelling- Volatility Modelling (Contd.)

Lecture 48 : Time Series Modelling- Volatility Modelling (Contd.)

Lecture 49 : Time Series Modelling- Volatility Modelling (Contd.)

Lecture 50 : Time Series Modelling- Volatility Modelling (Contd.)

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.)

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.)

Description:

COURSE OUTLINE: Through this course, students can obtain exposure on data analysis, modeling and spreadsheet use with BUSINESS ANALYTICS for DECISION MAKING. This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real-life cases to know the relevance of a particular problem and the decision-making thereof.

Engineering Econometrics

NPTEL

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#Social Sciences #Economics #Econometrics #Engineering #Data Science #Data Analysis #Mathematics #Statistics & Probability #Linear Regression #Time Series Analysis #Autocorrelation #Multicollinearity

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