Universität Wien

040436 VK KFK ORPE: Data Analysis in Organization and Personnel (2014S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

12.06.2014 Do 10:00 - 14:00 (Extra-Termin für Studierende auf der Warteliste)
PC-Seminarraum 1
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 11.06. 15:00 - 19:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 12.06. 10:00 - 14:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 12.06. 15:00 - 19:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 13.06. 13:00 - 15:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.06. 15:00 - 19:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 17.06. 15:00 - 19:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 18.06. 15:00 - 19:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 20.06. 13:00 - 15:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

Summary: “This course emphasizes statistical methods for analyzing data used by social scientists. Topics include simple and multiple regression analyses and the various methods of detecting and correcting data problems.”

The following is the course outline and the assigned readings.
Topics Readings
Part I. Basics of Regression Analysis
1. Fundamentals of Regression Analysis W. Ch. 1, 2, 3 (7)
2. Inference in Regression Analysis W. Ch. 4, 5
3. Further Issues in Regression Analysis W. Ch. 7
Part II. Further Topics in Regression Analysis
4. Instrumental Variables Regression W. Ch. 15, 16
5. Treatment Effects, Selection Models handout
Part III. Limited Dependent Variable Models
6. Regression with a Binary Dependent Variable W. Ch. 17
7. Multiple Choice Models handout
Part IV. Panel Data Models
8. Regression with Panel Data W. Ch. 13, 14

Assessment and permitted materials

Exams consist of essay type questions. Final exam is comprehensive. Make-up exams will not be given unless the student has a medical or other serious reason, in which case the student must be able to obtain a letter including a signature and telephone number. Points will be deducted for late assignments. Calculators may be used on exams, but may not be shared. All exams are closed book.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line. Students are encouraged to work with others in the class on their problem sets, but each student must write up his or her answers separately. The maximum group size is 2.
Your final grade is determined by your performance on the quizzes, assignments, midterm exams, final exam, class attendance and participation. Grades will be reduced for more than 1 absence.

Minimum requirements and assessment criteria

Goal: Upon completion of the course, students will be able to undertake regression analysis and inference on a variety of hypotheses involving cross-sectional and time series data.
This course introduces students to regression tools for analyzing data in economics, finance and related disciplines. Extensions include regression with discrete random variables, instrumental variables regression, quasi-experiments, and regression with time series data. The objective of the course is for the student to learn how to conduct – and how to critique – empirical studies in economics, finance and related fields. Accordingly, the emphasis of the course is on empirical applications. The mathematics of econometrics will be introduced only as needed and will not be a central focus.

Examination topics

I require two things of you. First, you must attend class. Attendance is important for your individual success in the course. Second, you must prepare for class by reading the assigned readings beforehand. The assigned readings are the Wooldridge text. If one commits himself or herself to such a routine, then this course will prove both emotionally manageable and intellectually rewarding.
Students are expected to read the required readings in the textbook prior to the lecture. Recommended end-of-chapter problems will be discussed in class as time permits.
Academic Conduct and Etiquette:
All acts of dishonesty in any work constitute academic misconduct. Cell phones must be turned off during class time.

Reading list

Jeffrey Wooldridge, Introductory Econometrics, A Modern Approach, 4th edition, South-Western Cengage Learning Co. 2013
(Any old edition is also fine)
The course statistical software is STATA, which is available on the computer lab. The data for the problem sets will be posted on the course Web page. You may purchase STATA through www.stata.com at an academic price but this is strictly optional.

Association in the course directory

Last modified: Mo 07.09.2020 15:29