Knowledge(upon completion of the course, the students should be able to):
Describe the general research process in an econometrics project
Explain how linear regression analyses works in general
Describe the assumptions of linear regression, and how to test the “testable” ones
Discuss the meaning of a correctly specified model and different functional forms
Articulate how logistic regression analysis works and how to interpret its findings (roughly)
Articulate how times-series regression analysis works (roughly)
Skills(upon completion of the course, the students should be able to):
Design an econometrics project (e.g. a bachelor project) based on regression analysis as the main methodological toolPerform basic data management tasks (e.g. construction of polynomials, logarithms, interactions etc.)
Carry out, interpret and present results from regression analyses in a satisfactory manner with respect to clarity and reasonability
Understand the various assumptions that regression analysis rests upon as well as how to test certain of these assumptions
Grasp and articulate the notion of a “correctly specified model” and understand the ideas behind the use of various functional forms
Carry out basic logistic regression analysis
Carry out basic time-series regression analysis
General knowledge(upon completion of the course, the students should bepartiallyable to):
Ascertain whether a research question could be stated in terms of an econometrics project
Define, redefine and confine a research question into an econometrics project
The course is a continuation of the course Introduction to social science research methods. The objective is to give students a comprehensive introduction to some of the main the statistical techniques that fall under the heading of econometrics. In particular, the emphasis is on linear regression analysis and its extensions.
Applicationis a key word for the course. The instructor will explain and demonstrate the various statistical analyses in class and the students will replicate these in a “computer laboratory” after class under supervision. As thefirstpart of a mandatory hand-in, students will in groups (up to 5) gather their own data for an econometrics project. Thesecondpart of this hand-in, carried out in pairs, consist of demonstrating the various “tricks of the trade” covered during the course. The evaluation of the hand-in emphasizes clarity and reasonability in the presentation of results.
Arbeids- og undervisningsformer
Traditional lectures, lectures with demonstrations of regression analysis and econometric problem solving in a “computer laboratory.” How to use a particular statistical software will be demonstrated in class and in the computer laboratory. Presently, the statistical software is Stata.
Obligatoriske krav som må være godkjent før eksamen kan avlegges
A two-part mandatory hand-in (the first part prepared group wise; the second part prepared pair wise). To be allowed to take the final exam, the mandatory hand-in must be passed.
3-hour school exam under attendance (no computer).
(Eksamen må påregnes besvart på engelsk)
Tillatte hjelpemidler til eksamen
Calculator that meets the requirements for the use of calculator at the business education at Lillehammer University College. Updated guidelines are available and will be distributed at start-up each year.