| Statuss(Neaktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Econometrics |
| Course code | Ekon5084 |
| Credit points (ECTS) | 4.5 |
| Total Hours in Course | 121.5 |
| Number of hours for lectures | 24 |
| Number of hours for laboratory classes | 24 |
| Date of course confirmation | 19/10/2011 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Dr. sc. ing., prof. Irina Arhipova |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| The Econometrics course goal is to check economy hypotheses, which contain the appropriated parameters, and convince, that the estimated parameters no conflicting with fundamental economy laws. The Econometrics course task is estimation of parameters of economy processes, utilizing economy theories or hypothesis formulation, data obtaining, economy theories or hypotheses mathematical and econometrics model specification. Checking model preconditions and adequate hypotheses, a model is applied in forecast. | |
| Learning outcomes and their assessment | |
| After completing the course student will have:Knowledge - is able to show the depth or extends knowledge and understanding of the economic hypotheses, which include the relevant parameters, and which provides the basis for research, that the estimated parameters are not inconsistent with the fundamental economic laws; is able to apply knowledge of economic research related to the cross discipline fields.Skills – is able to independently use the theory, methods and problem-solving skills to carry out research activities in the economic evaluation of process parameters, using economic theory or hypothesis formulation. Is able to forcefully explain and discuss the data acquisition, economic theory and econometric model specification for the particular problem at study.Competence – is able to independently formulate and critically analyze the economic hypotheses in master thesis, carry out evaluation of economic process parameters using data analyses application software. | |
| Compulsory reading | |
| 1. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Risinājumi ar SPSS un Microsoft Excel: mācību līdzeklis. Rīga: Datorzinību centrs, 2006. 364 lpp.
2. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel: mācību līdzeklis. Rīga: Datorzinību Centrs, 2003. 352 lpp. 3. Krastiņš O. Ekonometrija. Rīga: LR Centrālā statistikas pārvalde, 2003. 207 lpp. 4. Krastiņš O. Statistika un ekonometrija. Rīga: LR Centrālā statistikas pārvalde, 1998. 436 lpp. |
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| Further reading | |
| 1. Krastiņš O. Statistika un ekonometrija. Rīga: LR Centrālā statistikas pārvalde, 1998. 436 lpp.
2. Studenmund A.H. Using econometrics. A practical guide. 5th ed. Boston: Pearson, Addison Wesley, 2006. 639 p. 3. Берндт Эрнст. Практика эконометрики: классика и современность. Перевод с английского под редакцией проф. С.А.Айвазяна. Москва: ЮНИТИ-ДАНА, 2005. 863 с. |
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| Periodicals and other sources | |
| 1. Econometrica. Journal of the Econometrics Society. Blackwell Publishing. USA. Print ISSN: 0012-9682. 2. Journal of Forecasting. John Wiley & Sons, Inc. Print ISSN: 0277-6693. | |