All the modules for econometrics and the detailed contents of each module can be found below. Classes focus on both theory and application of models, whereas, workshops and webinars are focused more on application aspects of econometric models.

List of Modules for Econometrics

For prices and detailed contents of each module, see below.

Contents of all Modules for Econometrics

Module 1: Ordinary least squares and Goodness of fit

Ordinary least squares (OLS) is the basic starting point of econometric models. In this module, you will learn about the logic behind OLS, its inner workings, application and interpretation.

You will learn to deal with different situations where OLS can be used and different ways to adapt the models based on your needs. 

In the section related to goodness of fit, you will master the application of basic and advanced statistical methods to assess the reliability of applied models, to choose among different independent variables or models. 

The detailed contents of this module include:

Ordinary Least Squares (OLS)

Problems associated with OLS

Goodness of fit

OLS and Goodness of fit learning material

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Pricing

One on one classes

INR 4500 (approx. USD 60)

Luxury Package: INR 2250 (approx. USD 30)

Group classes

INR 2100 (approx. USD 28) per student

Luxury Package: INR 1050 (approx. USD 14)

Workshops and webinars

INR 600 (approx. USD 8) per student

Module 2: Time series analysis

The study of time series holds a special place in economics and econometrics. Time series models and techniques are some of the most widely used analytical tools.

In this module, we will focus on important concepts related to time series data. You will learn about stationarity and its meaning, unit root processes, tests of stationarity and order of integration.

You will learn about “Cointegration” and its meaning. We will discuss the theory, application and interpretation of VAR (Vector Autoregressive Model) and VECM (Vector Error Correction Mechanism) on real data.

The next section of the module will focus on various other time series models including ARDL (Autoregressive and Distributed Lag Models), ARMA, ARIMA models, ARCH and GARCH models. Along with theoretical background, we will focus on the application and interpretation of these models.

The detailed contents of this module include:

Stationarity

Cointegration

Other time series models and techniques

Time series analysis learning material

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Pricing

One on one classes

INR 6000 (approx. USD 80)

Luxury Package: INR 3000 (approx. USD 40)

Group classes

INR 3000 (approx. USD 40) per student

Luxury Package: INR 1500 (approx. USD 20)

Workshops and webinars

INR 825 (approx. USD 11) per student

Module 3: Panel data models

Panel data is a combination of cross sectional and time series elements which presents a different set of challenges for analysis and prediction.

This module will focus on the application of models specific to panel data. You will learn about the theory and application of Fixed Effects, Random Effects and Mixed models. Moreover, we will discuss when to use Panel data models instead of Pooled OLS and how to choose between fixed and random effects models.

The detailed contents of this module include:

Fixed effects and Random effects

Choosing between Fixed and Random Effects Models

More Applications on Real Data

Panel data models learning material

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Pricing

One on one classes

INR 3000 (approx. USD 40)

Luxury Package: INR 1500 (approx. USD 20)

Group classes

INR 1500 (approx. USD 20) per student

Luxury Package: INR 750 (approx. USD 10)

Workshops and webinars

INR 450 (approx. USD 6) per student

Module 4: Simultaneous Equation Models

Economic relationships are complex and the use of single equation models is not always appropriate or reliable. In such situations, simultaneous equation models are employed to capture interactions among economic variables.

You will learn about the situations where simultaneous equation models are needed. We will discuss about the meaning of simultaneous equation bias and problem of identification. 

The module will focus on theory and application of Indirect Least Squares, Two-stage Least Squares (2SLS) and Three-stage Least Squares (3SLS).

The detailed contents of this module include:

Need for simultaneous equation models

Simultaneous Equation Models

Simultaneous equation models learning material

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Pricing

One on one classes

INR 3000 (approx. USD 40)

Luxury Package: INR 1500 (approx. USD 20)

Group classes

INR 1500 (approx. USD 20) per student

Luxury Package: INR 750 (approx. USD 10)

Workshops and webinars

INR 450 (approx. USD 6) per student

Module 5: Qualitative response

Qualitative response models are ones with categorical or qualitative dependent variables, the categories or choices may be binary or more than two.

In this module, we will discuss why usual models such as OLS are inappropriate in case of qualitative dependent variables. You will learn to apply models that are more suitable in these cases, which include Logit Model, Probit Model and Tobit Model.

We will further discuss goodness of fit measures for such models with special focus on classification tables and how to adapt them to different situations.

The detailed contents of this module include:

Qualitative response

Goodness of fit

Other applcations

Qualitative Response learning material

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Pricing

One on one classes

INR 3000 (approx. USD 40)

Luxury Package: INR 1500 (approx. USD 20)

Group classes

INR 1500 (approx. USD 20) per student

Luxury Package: INR 750 (approx. USD 10)

Workshops and webinars

INR 450 (approx. USD 6) per student