The students gain knowledge in the field of Ökometrie by empirical examples on the computer. 

• Multiple Regression Analysis
• Econometric Specification
• Data Issues
• Binary Variables
• Heteroskedasticity
• Basic Regression Analysis with Time Series Data

The Econometrics I IK is intended to be a complementary course to Econometrics I KS, öffnet eine externe URL in einem neuen Fenster. While the KS's focus lies on econometric theory, the IK's emphasis is to provide a deeper understanding of the concepts covered in the KS and to apply econometric methods and tests to real data. The course aims particularly at developing practical skills which are necessary to perform independent empirical research. Students planning to attend this course should be familiar with the software pack STATA, öffnet eine externe URL in einem neuen Fenster. The prerequisite course Empirische Wirtschaftsforschung IK - which provides a comprehensive introduction to STATA - is offered every winter term.

IMPORTANT:  You may find these STATA cheatsheets useful: click me, öffnet eine externe URL in einem neuen Fenster

Einführung in die Betriebswirtschaftslehre, öffnet eine externe URL in einem neuen Fenster, Einführung in die Volkswirtschaftslehre, öffnet eine externe URL in einem neuen Fenster, Kernkompetenzen I aus Volkswirtschaftslehre, öffnet eine externe URL in einem neuen Fenster
 

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/, öffnet eine externe URL in einem neuen Fenster . 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. 

Grading is based on three problem sets (10 points each, in total 30 points) and a presentation (30 points). 

Problem Sets: The problem sets will be made available here (soon). I advise you to solve them already during the semester whenever the corresponding topics come up in the KS. In May, we have three meetings (7th, 14th, and 28th) where some of you will be picked to present their solutions in class. Please read the instructions below carefully, and don't forget to turn in your do-file before class. In case you get picked to present, you are free to use your own laptop.

Presentation: At the end of the semester, students present an empirical paper which may include a small replication exercise as well (see information below). The grading scale follows the Austrian scholastic system and ranges from 5 ("Nicht genügend") to 1 ("Sehr gut").

More information can be found on the introductory slides, öffnet eine externe URL in einem neuen Fenster, please read them carefully.

Problem sets consist mainly of computer exercises which ought to be solved using statistical software (in class, we use STATA, öffnet eine externe URL in einem neuen Fenster). Try to solve every exercise. However, if you get stuck or you don't know how to solve an exercise at all, explain why you got stuck or what the problem was. IMPORTANT: Comment on your results, especially tests and regression outputs should be interpreted carefully. Just providing the necessary commands is not sufficient to get credit.

How to hand in your solution 

I urge you to use this template for your do-files: template.do, öffnet eine externe URL in einem neuen Fenster

• Specify your working directory
• Fill in your name and matriculation number
• Make sure your do-file is structured clearly
• Document important steps in your code, interpret your results
• Make sure your do-file is EXECUTABLE!
• Send the do-file to me via e-mail before midnight sharp, the subject should be
  Econometrics 1 IK Problem Set [x] k[your matriculation number]

  For example, Econometrics 1 IK Problem Set 1 k1234567.

More information can be found on the introductory slides, öffnet eine externe URL in einem neuen Fenster, please read them carefully.

Part of the grading will be based on a presentation you hold at the end of the semester. Please read the instructions carefully:

Instruction from last semester, öffnet eine externe URL in einem neuen Fenster (will be updated shortly)
Doodle poll 

Please see the following guide on how to make good graphs and tables compiled by Martin Halla, öffnet eine externe URL in einem neuen Fenster: click me, öffnet eine externe URL in einem neuen Fenster

Before your presentation, I would highly recommend to read chapter 1 of Angrist & Pischke's 'Mostly Harmless Econometrics' (MHE, you can find it here, öffnet eine externe URL in einem neuen Fenster) and make sure to address all four FAQ's proposed therein. MHE is a great reference for applied econometricians - if you want to become one, read it. It's easily understandable and very non-technical, but covers all basic state-of-the-art econometric methods.

Student data: Questionnaire, öffnet eine externe URL in einem neuen Fenster | student_data_ss18.xlsx, öffnet eine externe URL in einem neuen Fenster | student_data_skz.csv, öffnet eine externe URL in einem neuen Fenster | student_data_clean.dta, öffnet eine externe URL in einem neuen Fenster

Note: You should now be able to open the STATA files (*.dta) with version 8 or above. If it doesn't work, insheet the raw files by typing

insheet using <insert_filename_here>.raw, clear

and get variable labels by calling the corresponding do-file, i.e.

do <insert_filename_here>.do

• Google, öffnet eine externe URL in einem neuen Fenster (you'll find a solution to everything on Google, trust me)
• STATA cheatsheets, öffnet eine externe URL in einem neuen Fenster
• Stata documentation, öffnet eine externe URL in einem neuen Fenster
• UCLA Stata resources, öffnet eine externe URL in einem neuen Fenster
• Stata tutorial by Germán Rodríguez (Princeton), öffnet eine externe URL in einem neuen Fenster
• StataCorp YouTube channel, öffnet eine externe URL in einem neuen Fenster
• The Stata Journal, öffnet eine externe URL in einem neuen Fenster