National open university of nigeria introduction to econometrics II eco 356
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Introduction to Econometrics ECO 356 Course Guide and Course Material
| INTRODUCTION TO ECONOMETRICS II ECO 306 NOUN 13 • You have a question or problem with an assignment, with your lecturer's comments on an assignment or with the grading of an assignment. You should try your best to attend the tutorials. Such avenues are the only chance to have face to face contact with your lecturer and to ask questions which are given instant answers instantly. You can raise any problem encountered in the course of your study. To gain the maximum benefit from course tutorials, prepare a question list before attending them. You will learn a lot from participating in discussions actively. Summary The course, Introduction to Econometrics II (ECO 306) presents you with general background and applications of the concept of Random Variables, Sampling Theory and how to be able to identify functions and problems associated with estimation. This course also examines ordinary least squares assumptions and sampling theories. Topics like, multicollinearity, heteroscedasticity, autocorrelation and Econometrics modeling had illustrative examples used for further explanations. For this reason, use of regression analyses, correlation, variance and dummy variables with experiential case studies that apply the techniques to real-life data are stressed and discussed throughout the course. This course is therefore developed in a manner to guide you further on what econometrics entails, what course materials inline with a course learning structure you will be using. The learning structure suggested some general guidelines fora time frame required of you on each unit to achieve the course aims and objectives. Conclusively, you would have developed critical thinking skills with the material necessary for anefficient introductory understanding of econometrics. Nevertheless, to achieve a lot more from the course, please try to solve econometrics problems independently, do presentation and interpretation of findings in any assignment given both in your academic programme and other spheres of life. Further work in this course would expose you to introductory levels of topics like vector autoregressions, unit roots, cointegration, and time-series analysis. Download 1.64 Mb. Share with your friends:
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