Hagrannsóknir I


Ár1. ár
ÖnnHaustönn/Fall 2019
Stig námskeiðsÓskilgreint
Tegund námskeiðsSkylda
UndanfararV-103-THAG, Þjóðhagfræði
V-104-STÆR, Hagnýt stærðfræði I
V-201-RHAG, Rekstrarhagfræði I
V-303-TOL1, Hagnýt tölfræði I
SkipulagEkkert skráð skipulag.
Ewa Ryszarda Lazarczyk Carlson
Hörður Guðmundsson
 The course is divided into two parts. Part 1 covers simple and multiple regressions which are used in the analysis of cross-sectional data. Part 2 discusses basic time series models. The course uses algebra and some basic differential calculus. Matrix algebra is also used when appropriate and useful. Examples of simple economic applications are used throughout the course. Students use SPSS for the first part of the course and R for the second part. License to use SPSS can be purchased at the reception desk in Sólin. It is crucial that you get SPSS as soon as possible, as already in the second week of the course we will be using it! R is a programing language that can be downloaded for free from https://www.r-project.org (Links to an external site.)Links to an external site.. During the course students will get some guidance on how to use both programs. However, it has to be noted that these statistical programs are only the means to an end – the course’s aim is not to thoroughly teach how to use these programs, it is to be able to perform the chosen analysis with the use of the computer software and primarily to understand the results and be able to judge the adequacy of the model and its fit to data.
 Learning outcomes: The learning outcomes outline the factors that fall under the heading of knowledge, skills and competences within Econometrics that students are expected to acquire during the semester. Knowledge: Students should know the basic econometric methods to handle cross-sectional data and time-series. These include the method of linear regression, assumptions necessary to perform regression analysis, basic test necessary to verify the fit of the model and interpretation of the results.  Skills: Students should know how to use econometric methods to analyze data. That means that students should be able to choose the appropriate method for the data at hand, use it to analyze the data and interpret the results. Students should become familiar with using a chosen statistical package (SPSS and R will be the programs used in class). Competences: Students should be able to use econometric models for decision-making and be able to judge the adequacy of the method used for analysis. They should also be able to read simple research papers that use these methods.
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