| Detailed information |
| Pre-requisites |
(*)Fach Einführung in die Betriebswirtschaftslehre, Fach Einführung in die Volkswirtschaftslehre und Fach Kernkompetenzen I aus Volkswirtschaftslehre
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| Original study plan |
Bachelor's programme Business and Economics 2016W |
| Objectives |
The students gain knowledge in the field of Ökometrie by empirical examples on the computer .
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| Subject |
• Multiple Regression Analysis
• Econometric Specification
• Data Issues
• Binary Variables
• Heteroskedasticity
• Basic Regression Analysis with Time Series Data
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| Criteria for evaluation |
Before each meeting students are asked to register which exercises they have solved. In total, the exercises will allow students to collect 30 points. Students with a very good presentation will get an additional point; students with a poor presentation will lose one point.
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| Methods |
The integral parts of the IC are five take-home problem sets consisting of practical exercises. Students will be assigned to present the solutions of the exercises in the computer labor. This is followed by a general discussion of the motivations, intuitions, and analytics of each exercise. Each problem set consists of about five exercises. To solve the exercises, students are free to use any calculator, computer, or software package. However, Stata is highly recommended.
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| Language |
English |
| Study material |
See CS; plus optional: Adkins, Lee C und R. Carter Hill (2008), Using Stata for Principles of Econometrics, 3rd ed., Wiley.
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| Changing subject? |
No |
| Further information |
In order to successfully participate in this intensifiying course, students need also to enroll in the course "Econometrics I". Please, see the respective prerequisites there.
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.
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| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2VTMOEKI1: IK Econometrics I (2009W-2015S)
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