From beginners to advanced users, we offer courses for people seeking basic econometrics training as well as for those looking to deepen their understanding of specific econometric techniques with Eviews. Throughout our sessions, emphasis is placed on understanding why and in which context a given econometric tool should be used rather than on the technical details.
FIELD: MODELLING TIME SERIES USING EViews :
- Time Series analysis and forecasting using EViews

 FIELD: ECONOMETRIC METHODS WITH EViews
- Univariate Econometric methods with EViews


FIELD: MODELLING TIME SERIES USING EViews
Time Series analysis and forecasting using EViews
Duration

 1 day (On Site)
Level

 Beginner
Prerequisite

 Attendees should be familiar with Windows and MS Excel, and have basic knowledge of statistics - descriptive statistics, both numerical (mean, standard deviation, standard error, etc.) and graphical (histogram, box-plot, scatter plot, etc.), hypothesis testing and confidence intervals. A short review of these techniques will nevertheless be provided.
Target audience This applied training session is aimed at anyone who collects time series data and is supposed to take decisions based on such data. The regression techniques covered in this session will be particularly useful for people interested in forecasting and relating/predicting a variable to/from a single or a set of explanatory variables.
Topics covered
Eviews Fundamentals :
• Workfile basics
• Object basics
• Data entry and management
• Time series management

Basic Data Analysis :
• Series and groups
• Statistical graphs from series and groups
• Dealing with trends and seasonality: the basic tools
• Descriptive statistics and univariate tests

The classical Linear regression Model :
• Methods of Estimation – least squares, maximum Likelihood
• Checking model adequacy: approaches to testing and diagnostic testing using Eviews
• Forecasting
• Time series regression: dummy variables and trends, autocorrelation trends
• Overview of other estimation methods available with Eviews

Objective

Designed for up-and-coming researchers and forecasters, the course aims at refreshing their knowledge of applied econometrics. It covers the basic elements of ordinary least squares (OLS) models as well as time series econometrics and forecasting.


FIELD: ECONOMETRIC METHODS WITH EViews
Univariate Econometric methods with EViews
Duration

 2 days (On Site)
Level

 Intermediate
Prerequisite

 Attendees should be familiar with Windows and MS Excel, and have basic knowledge of statistics - descriptive statistics, both numerical (mean, standard deviation, standard error, etc.) and graphical (histogram, box-plot, scatter plot, etc.), hypothesis testing and confidence intervals. A short review of these techniques will nevertheless be provided.
Target audience This applied training session in econometrics aims at anyone who collects data and is supposed to take decisions based on that data. The regression techniques covered in this session will be particularly useful for people who are interested in relating/predicting a variable to/from a single or a set of explanatory variables. The course is of an applied nature with emphasis on a hands-on approach to decision-making in economics.
Topics covered
Estimation on cross sections :
• Estimation and testing
• Specification tests
• Heteroskedasticity and weighted least squares
• Non Linear Least squares
• Endogeneity and estimation methods (TSLS, GMM)
• Discrete and Limited Dependent variable models
Time series regression :
• Descriptive statistics and univariate tests
• Dynamic models and polynomial distributed lags
• Unit root tests
• Modelling a Time series – The Box-jenkins Approach (ARMA,…)
• Forecasting
• Introduction To ARCH and GARCH Processes for time series

Objective

The aim of the course is to combine expertise and experience in econometrics methods. The course is intended to equip research contract managers with a set of techniques that can be applied to the results of research work to verify quality and hence strengthen assessment procedures. People attending the course would be expected to have a basic understanding or econometric techniques, such as those taught as part of an undergraduate economics degree.