Universität Wien

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

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

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

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 11.06. 15:00 - 19:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Donnerstag 12.06. 10:00 - 14:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 12.06. 15:00 - 19:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 13.06. 13:00 - 15:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 16.06. 15:00 - 19:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 17.06. 15:00 - 19:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Mittwoch 18.06. 15:00 - 19:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 20.06. 13:00 - 15:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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.

Prüfungsstoff

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.

Literatur

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.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:29