The Course Econometrics I is part of the Econometrics Curriculum by the Department of Economics. The objective is to provide students with an understanding of simple econometric models and introduce them to empirical work in a critical manner. The main target group is students enrolled in the Bachelor degree program in Social Sciences, Economics and Business who aim to specialize in either Economics, or Management and Applied Economics. Of course, students of other areas of specialization, or enrolled in other degree programs who are interested in empirical methods, are most welcome. However, please check the prerequisites below. The course focuses on econometric theory and applications will be taught in the accompanying intensifying course.
• Multiple Regression Analysis
• Econometric Specification
• Data Issues
• Binary Variables
• Basic Regression Analysis with Time Series Data
In order to successfully participate in this course, students require basic knowledge in econometrics and statistics. See, for example, Appendix A to C and Chapters 1 to 4 in Wooldridge (200x). The course CS "Empirische Wirtschaftsforschung" which prepares students for this is offered every winter semester. It is recommended to study the intensifying course IK "Econometrics I" in the same semester as the CS "Econometrics I". Further information, in particular, the overall schedule of the econometrics classes, are available at http://www.econ.jku.at/1408/ . Please note that not all econometrics classes are offered every semester.
Im Falle von kommissionellen Prüfungsantritten setzt sich die Prüfungskommission wie folgt zusammen:
- Vorsitzender: Dr. Rudolf Winter-Ebmer
- 1. Prüfer: Mag. Alexander Ahammer
- 2. Prüfer: Dr. Franz Hackl
- Wooldridge, J. M. (2015) 'Introductory Econometrics: A Modern Approach,' 5th ed., South Western College Publishing.
- Angrist, J. D. & Pischke, J. S. (2009, HME) 'Mostly Harmless Econometrics,' Princeton University Press.
- Angrist, J. D. & Pischke, J. S. (2015, 'MM) 'Mastering Metrics,' Princeton University Press.
- Greene, W. H. (2012) 'Econometric Analysis,' 7th edition, Pearson.
- Searle, S. R. (1982) 'Matrix Algebra Useful for Statistics,' Wiley Series in Probability and Mathematical Statistics.
Detaillierte Unterlagen (Passwort erforderlich)
|(Module 0) Introduction||Slides||Wooldridge ch. 1|
|(Module 0) Math & stats recap||Slides||Wooldridge appendices A, B, C, Searle ch. 13, 14, 15|
|(Module 1) Bivariate linear regression||Slides||Wooldridge ch. 2|
|(Module 2) Multivariate linear regression||Slides||Wooldridge ch. 3, 4, 5 & appendices D, E|
|(Module 3) Model specification and diagnostics||Slides||Wooldridge ch. 6|
|(Module 4) Binary variables||Slides||Wooldridge ch. 7, 17.1|
|(Module 5) Heteroskedasticity||Slides||Wooldridge ch. 8|
|(Module 6) Endogeneity||Slides||Greene ch. 8.; Wooldridge ch. 9|
|(Module 7) Time series econometrics||Slides||Wooldridge ch. 10|
|(Module 8) Panel data econometrics||Slides||Wooldridge ch. 13, 14|
A detailed overview on topics which are covered and a preliminary schedule can be found on the introductory slides.
Before students attend the KS, they are asked to study the relevant chapters in the text book. In class selected topics are discussed together. Two short tests on the reading assignments will be given during the semester (without extra notice!). On each test students can gain a maximum of 20 points. The better score will account for the final grade. At the end of the semester a final exam (with a maximum of 100 points) will be given. The grading scale for the KS will be as follows:
|120 - 106||1 (Sehr Gut)|
|105 - 91||2 (Gut)|
|90 - 76||3 (Befriedigend)|
|75 - 61||4 (Genügend)|
|60 - 0||5 (Nicht genügend)|