Course in Econometric Analysis of Data Sets |Smart

Overview

Why Attend

The course "Econometric Analysis of Data Sets" is a specialized program designed to equip participants with in-depth knowledge and essential skills to apply econometric analysis techniques to economic datasets. The program aims to provide the necessary tools for scientific and accurate economic data analysis, along with the use of statistical methods to interpret and forecast economic outcomes across various fields.

Participants will learn how to handle complex economic data, understand the standard model used in econometric analysis, and how to implement these methods using advanced analytical software. By the end of the course, participants will be able to build advanced analytical models and make informed decisions based on precise data.

Course Objectives

By the end of the course, participants will be able to:

Who Should Attend?

Economists dealing with economic data.
Economic analysts in public or private institutions.
Academics and researchers working on applications of econometric analysis.
Students and graduates in economics and statistics seeking to enhance their analytical skills.
Anyone interested in learning how to use economic data to make strategic decisions.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

Use econometric tools to analyze economic data.
Apply mathematical and statistical models for accurate data analysis and outcomes.
Develop skills in implementing econometric analysis using appropriate software.
Interpret economic results and transform them into practical conclusions.
Understand and apply standard tools to analyze economic variables in various contexts.

Course Outline

Introduction to Econometric Analysis
- Definition of econometric analysis.
- Basic principles in economic analysis.
- The difference between quantitative and qualitative economic analysis.
Statistical Foundations of Econometric Analysis
- Differences between independent and dependent variables.
- The role of statistical models in economic analysis.
- Basics of simple and multiple linear regression.
Economic Data Analysis Using Analytical Software
- Introduction to software used in economic analysis (such as EViews, SPSS).
- How to input and clean economic data.
- Creating simple economic models using statistical programs.
Advanced Regression Models in Econometric Analysis
- Multiple regression and its use in economics.
- Handling non-linear variables.
- Analyzing dummy variables in economic models.
Hypothesis Testing and Model Validation
- Basic hypotheses in econometric analysis.
- Testing for normal distribution of data.
- Model validity assessment using F-tests and t-tests.
Dealing with Multicollinearity and Heteroscedasticity in Economic Models
- Identifying multicollinearity and how to address it.
- Handling heteroscedasticity (non-homogeneous error variance).
- Advanced techniques for improving model accuracy.
Time Series Analysis and Sequential Data
- Introduction to time-series data and its importance in economic analysis.
- Using time-series regression for economic data analysis.
- Testing for stationarity in time-series data.
Advanced Time Series Regression Models
- Autoregressive (AR) and Moving Average (MA) models.
- The Autoregressive Integrated Moving Average (ARIMA) model and its economic applications.
- Cross-sectional data analysis with time integration.
Analysis Using Error Correction Models (ECM)
- Understanding Error Correction Models and their use in economic analysis.
- Differentiating between short-term and long-term models.
- Interpreting results in Error Correction Models.
Structural Models and Economic Forecasting Techniques
- Using structural models to analyze relationships between economic variables.
- Economic forecasting techniques using econometric models.
- Assessing the accuracy of economic forecasts.
Quantitative Analysis of Financial Markets
- Studying the relationship between asset prices and economic factors.
- Value at Risk (VaR) models in financial market analysis.
- Using regression to measure economic risks.

Schedule & Fees

2026 Schedule & Fees

29 Nov - 3 Dec, 2026

English

Per participant USD 2,900

29 Nov - 3 Dec, 2026

Arabic

Per participant USD 2,900

13 - 17 Dec, 2026

English

Per participant USD 2,900

13 - 17 Dec, 2026

Arabic

Per participant USD 2,900

2027 Schedule & Fees

28 Feb - 4 Mar, 2027

English

Per participant USD 2,900

28 Feb - 4 Mar, 2027

Arabic

Per participant USD 2,900

14 - 18 Mar, 2027

English

Per participant USD 2,900

14 - 18 Mar, 2027

Arabic

Per participant USD 2,900

30 May - 3 Jun, 2027

English

Per participant USD 2,900

30 May - 3 Jun, 2027

Arabic

Per participant USD 2,900

13 - 17 Jun, 2027

English

Per participant USD 2,900

13 - 17 Jun, 2027

Arabic

Per participant USD 2,900

29 Aug - 2 Sep, 2027

English

Per participant USD 2,900

29 Aug - 2 Sep, 2027

Arabic

Per participant USD 2,900

12 - 16 Sep, 2027

English

Per participant USD 2,900

12 - 16 Sep, 2027

Arabic

Per participant USD 2,900

28 Nov - 2 Dec, 2027

English

Per participant USD 2,900

28 Nov - 2 Dec, 2027

Arabic

Per participant USD 2,900

12 - 16 Dec, 2027

English

Per participant USD 2,900

12 - 16 Dec, 2027

Arabic

Per participant USD 2,900