040195 KU Data Analysis on Organization and Personell (MA) (2017W)
- Anmeldung von Fr 08.09.2017 09:00 bis Do 21.09.2017 12:00
- Abmeldung bis Sa 14.10.2017 23:59
Termine (iCal) - nächster Termin ist mit N markiert
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Exams consist of essay type questions. Make-up exams will not be given unless the student has a medical or other serious reason.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line. each student must write up his or her answers separately.Passing grades can generally not be earned by students who miss more than 10% of the total class-time.
Exam review is possible during regular semester time by appointment.
Mindestanforderungen und Beurteilungsmaßstab
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.
Jeffrey Wooldridge, Introductory Econometrics, A Modern Approach, 4th edition, South-Western Cengage Learning Co. 2013.
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.
http://www.stata.com/order/new/edu/gradplans/student-pricing/ (Small Stata 13, student version, $35 – 49).