S314 Computational Econometrics Using Stata

Details

Course Format		The course will have both an online and an in-person part. While the lecture part will consist of videos (provided via Ilias) which allows you to watch the material at your own speed, the practical sessions will be in person in the PC Lab. The practical part of this course will consist of flipped-classroom sessions. There will be Problem Sets to each lecture which you can either solve in these sessions or - in case you have already solved them - ask me questions regarding the material of the lecture or the Problem Sets. These sessions will take place on Tuesdays, 8:15am - 9:45am. We will talk about all the formalities and the exact organization of the course in the first session (18/10/2022, 8:15am - 9:45am). Please note that you need to register for this course (see below). In case you have any questions, please send a mail to marian.ruemmelespam prevention@uni-tuebingen.de.
Lecturer:		Marian Rümmele, M.Sc.
Profiles:		B.Sc. in Economics and Business Administration B.Sc. in International Economics B.Sc. in International Business Administration
Prerequisites:		Quantitative Methods in Economics and Business Administration Applied Econometrics recommended
Language:		English
Time and Place:		Lecture: Online via Ilias Practical Sessions (Flipped Classroom): Wiwi PC Lab - Nauklerstraße 47
Start:		In person: 18/10/2022 in the PC Lab
Exam:		Written exam (60 Min)
Credits Points:		3 ECTS

Registration

You have to register in order to attend this course: Please write a short mail indicating your name, matriculation number, and your study program. Please also indicate whether you are a Bachelor or a Master student as well as the courses you have already taken in the field of Statistics/Econometrics so far.

You can register for this course until the 17/10/2022 (the day prior to the first session).

Please send your application to marian.ruemmelespam prevention@uni-tuebingen.de.

Course Outline

The goal of this course is to enable students to conduct empirical studies using micro data. Students will learn to use the statistical software package Stata in order to import, manipulate and analyze data. The course focuses on microeconometric methods.

Course Materials

Course materials will be made available through Ilias.

Literature

Baum: An Introduction to Modern Econometrics Using Stata

Baum: An Introduction to Stata Programming

Wooldridge: Introductory Econometrics