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HiL > 2014/15 Studiehåndbok > ØKA2005/1 Introductory Econometrics

**Kode**- ØKA2005/1
**Studiepoeng**- 7,5
**Semester**- Autumn
**Lengde**- Ett semester
**Heltid/ deltid**- Heltid
**Pensum****Emneansvarlig**- Professor Christer Thrane
**Karaktersystem**- Grades A-F
**Undervisningsspråk**- Language of instruction - English
**Emneeier**- ÅR/BA Økonomi og administrasjon

**Studenttorget**-
studenttorg@hil.no

Telefon: 612 88000

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 room” 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.

Learning outcomes:

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 tool

-Perform 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

Traditional lectures, lectures with demonstrations of regression analysis, econometric problem solving in a “computer room.” How to use a particular statistical software will be demonstrated in class. Presently, the statistical software is SPSS.

**Recommended prerequisites: **

An introductory course in social science research methods; an introductory course in calculus/mathematics and statistics (advisable)

BØA, Inngår i profilen Økonomisk-administrative fag

-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.

-A 3-hour school exam under attendance (no computer).

**NB: Kull 2014 vil som en overgangsordning ha mulighet til å svare på både norsk og engelsk på eksamen på emnet.**

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.

Dette emnet overtar for emnet Markedsanalyse i Praksis, MiP (15 sp)

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