Advanced Econometrics Using R

Training

Online

£ 179 VAT inc.

Description

  • Type

    Training

  • Methodology

    Online

  • Class hours

    30h

Know how R is a simplest Statistical Package. Do a complete Econometric Analytic using R. Select various techniques suitable for a specific type of data. Present the Results in more understandable context. Report the results for evaluation and selection. Suitable for: This course is designed for Academic and Professional audience including Faculty and Students from Statistics, Finance, Economics and other fields in Business and Management, Professionals analyzing various types of Datasets for their academic and professional requirements. The course will follow a step by step guidance approach to lead you through the complete process of data management, analysis and reporting.

About this course

Students need to register on the given link, email to moodle@aneconomist.com and pay the course fee before commencement of lectures. Each student will get a personal lecture session where no other students will be allowed to enter the virtual classroom thus giving each student 100% time for their discussions and Q&A. All lectures will be delivered Live and after completion of the course, recording of each lecture will be delivered in a DVD to the students postal address. The course fee includes the postage.

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Reviews

Teachers and trainers (1)

Muhammad Anees

Muhammad Anees

Assistant Professor, e-Learning Instructor

I have a blended experience of teaching Global Business Strategy, Business Economics and Quantitative Business Analysis with academic background in Applied Econometrics. I have developed strong Quantitative Analysis skills and Econometric Modeling attitude during my studies and my teaching profession at university level. I am also offering many Econometric courses online using my teaching portal on http://elearning.aneconomist.com. Specialties Econometrics, Applied Economics, Stata, Eviews, Microfit, OxMetrics, SPSS, Matlab

Course programme

Course review:

We will cover the following contents and all analysis will be carried using R Language.

1. Introduction to R 2. The Simple Linear Regression Model 3. Interval Estimation and Hypothesis Testing 4. Prediction, Goodness of Fit and Modeling Issues 5. The Multiple Linear Regression Model 6. Further Inference in the Multiple Regression Model 7. Nonlinear Relationships 8. Heteroskedasticity 9. Dynamic Models, Autocorrelation, and Forecasting 10. Random Regressors and Moment Based Estimation 11. Simultaneous Equations Models 12. Nonstationary Time Series Data and Cointegration 13. VEC and VAR Models: An Introduction to Macroeconometrics 14. Time-Varying Volatility and ARCH Models: An Introduction to Financial Econometrics 15. Panel Data Models 16. Qualitative and Limited Dependent Variables, Basics of Simulations, Simulations of Econometric Models, Simulation of Time Series Models

Advanced Econometrics Using R

£ 179 VAT inc.