040195 KU Data Analysis on Organization and Personell (MA) (2018W)
Prüfungsimmanente Lehrveranstaltung
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An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 10.09.2018 09:00 bis Do 20.09.2018 12:00
- Anmeldung von Mo 24.09.2018 09:00 bis Mi 26.09.2018 12:00
- Abmeldung bis Mo 15.10.2018 23:59
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 04.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Donnerstag 11.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Donnerstag 18.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Donnerstag 08.11. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Donnerstag 22.11. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Donnerstag 29.11. 09:45 - 15:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Donnerstag 29.11. 15:00 - 16:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This course introduces students to regression tools for analyzing data in management, 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 management, 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. 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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Following content will be covered in class,
-Introduction to Stata, Descriptive Statistics
-Correlation, T-test, Hypothesis Testing
-Univariate OLS Regression
-Multivariate OLS Regression, Dummy variable
-Logit ModelYour final grade is determined by your performance on the in class participation, assignments and presentation.
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.
-Introduction to Stata, Descriptive Statistics
-Correlation, T-test, Hypothesis Testing
-Univariate OLS Regression
-Multivariate OLS Regression, Dummy variable
-Logit ModelYour final grade is determined by your performance on the in class participation, assignments and presentation.
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
Basic knowledge of Business Mathematics and Statistics are required.
Prüfungsstoff
assignments, final presentation, class attendance and participation.
Literatur
Wooldridge „Introductory Econometrics“
– Chapters 1-8, 15, 17
Technical Jargon and lengthy, but a classic
Peter Kennedy „A guide to Econometrics“
– Chapters 1-12, 16, 17
More of a critique but some find it more readable then Wooldridge
Kohler/Kreuter „Data Analysis using Stata“
Very much on descriptives and data management, less on regressions. Chapter 8 and 9 mostly relev
Baum „An Introduction to Modern Econometrics using Stata“
Requires some background in stata, but covers more details. Chapters 4, 8 and 9 mostly relevant
– Chapters 1-8, 15, 17
Technical Jargon and lengthy, but a classic
Peter Kennedy „A guide to Econometrics“
– Chapters 1-12, 16, 17
More of a critique but some find it more readable then Wooldridge
Kohler/Kreuter „Data Analysis using Stata“
Very much on descriptives and data management, less on regressions. Chapter 8 and 9 mostly relev
Baum „An Introduction to Modern Econometrics using Stata“
Requires some background in stata, but covers more details. Chapters 4, 8 and 9 mostly relevant
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:28