StudySection gives you an opportunity to judge your knowledge related to various statistical techniques and analyses tools used to solve the problems and issues in economics by launching a Free Online Certification Exam (Foundation). This Certification Exam is suitable for beginners who have basic knowledge of economics, probability and statistics, and linear algebra. This certification exam aims to operationalize empirically economic theory, test the economic theory, and predict future movements in the economic variable of interest on the basis of the econometric model.
Econometrics deals with the measurement of economic relationships. It is described as the branch of economics that aims to give empirical content to economic relations. Econometrics is concerned with the empirical estimation of economic relationships, models, together with data, represent the basic ingredients of any econometric study. It is an integration of economic theories, mathematical economics, and statistics with an objective to provide numerical values to the parameters of economic relationships.
This certification exam consists of several multiple-choice questions based on the fundamentals of this program. Some questions may have more than one correct option, and you must select all the correct options in order to make your answer right. After you have successfully passed this online Certification Exam (Foundation), you will become eligible to get an e-Certificate and a certification badge that can be used to enhance your career profile and social media profiles too.
Topics to be covered in Introductory Econometrics Free Online Certification Exam are the following:
- Basics of econometrics
- The Nature and Purpose of Econometrics
- A brief overview of the classical linear regression model
- Further development and analysis of the classical linear regression model
- Classical linear regression model assumptions and diagnostics
- Univariate time series modelling and forecasting
- Multivariate models
- Modelling long-run relationship in finance
- Modelling volatility and correlation
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