Core electives

Computerlab - Applied Econometrics (10162000)

Jason Berger, M.Sc.

Offered in: summer term (in English) and in winter term (in German)

start: 18.10.2024

time: Friday, 10:00 - 12:00 (CIP Pool II, Alte IHK)

Aim

The aim of the lecture is to teach you the basic methods and concepts of statistical inference (e.g., hypothesis testing and regression analysis) their practical application and their correct interpretation. Mathematics, is used throughout the course, however we will not dwell deep into mathematical subtleties but solely (ab)use mathematics as an efficient and unambiguous way of communicating. The focus is on the development of an intuitive understanding of the topics discussed in class while sensitizing you for “real” problems of statistical inference (with particular focus on regression analysis).

Previous knowledge

Principally, attendance of your introductory statistics courses “Grundlagen der Statistik” and “Grundlagen der QWF” are not required, however, a basic understanding of statistics and statistical methodology will be vital in order to follow the course.

Who is the course for?

As lecturer I strongly recommend the course to anyone planning to write any kind of empirical Bachelorthesis (at our chair or at any other chair). Moreover, anyone interested in applied statistics will probably find what she or he is looking for.

Exam

The examination is a 60-minute paper-based written exam. As an aid, students may use their own laptop using the Excel and Gretl software used in the course to the exclusion of communication options.

For ERASMUS students: Registration to exam online per WueStudy

Contact:

Agata Stopinska
Sanderring 2, Room 290
Telephone: 0931/31-89969

Please visit WueCampus  and WueStudy  for further information.

Data analysis (Praxis der Datenanalyse (Ausgewählte Probleme aus dem Bereich Methoden) 10168000)

Dr. Lukas Kagerbauer & Dr. Manuel Rademaker

Offered in: summer term

Language: German

Concept and content

Business, science, institutions and politics - The daily work in all areas of the economy is based on the collection, processing and analysis of different types of data. First data must be collected or even generated. However, data acquisition is only one part. The second part is modifying, processing and finally interpreting the data with the help of various software solutions with the help of appropriate methods. Prerequisite for this is theoretical and practical knowledge of how to work with different statistical programs (such as the free software R) and with different techniques of data preparation and filtering. The course is aimed at bachelor students of Wirtschaftswissenschaften as well as bachelor students of other fields (including business informatics) with economic relevance.

The cours basically deals with the following questions:

• Where can regional and national economic data for research, presentations and projects be found?
•  How do different data types and indicators differ from each other?
•  Which methods and filter procedures must be used before the data can be interpreted?
•  Which software solutions can be used? Are there more possibilities than Excel? Advantages of the practical work with the free statistical software R

Assignment

This lecture is a core elective which can be integrated in the bachelor programme "Wirtschaftswissenschaft" as "Ausgewählte Probleme aus dem Bereich Methoden" and in the bachelor programme "Wirtschaftsmathematik" as "Ausgewählte Probleme der Wirtschaftswissenschaft".

Outline and procedure

The course is essentially divided into three parts: Theory, technical application and practice.

1.  In the first part of the course, the previously mentioned questions are discussed theoretically.
2.  In the second part basic knowledge in the technical handling of various statistical databases (Destatis, Genesis, Eurostat, DaReZa, Agentur für Arbeit etc.) and the statistical software R are conveyed.
3.  In addition to the classes excursions to regional companies, institutions and research institutes take place. There may be an opportunity to present and discuss a previously in developed topic

Fr. 19.04.2024 13:15 – 14:45 Introduction
[Ort: Uni Sanderring, CiP Pool, Raum 409]

For further information see WueStudy and WueCampus.

Contact

lukas.kagerbauer@uni-wuerzburg.de

 

Seminar: Quantitative Economic Research

Offered in: Summer- and winter term

 

General Informationen

In the seminar "Quantitative Economic Research", topics of econometrics are to be worked out independently in a seminar paper and subsequently presented in a seminar lecture. Topics can be based on the bachelors courses of the chair, i.e. on the contents of the courses "Statistics", "Econometrics" and preferably "Computerlab - Applied Econometrics". The exact topics will be discussed individually with the chair's staff. Formal instructions can be found here.

 

Schedule of the Seminar:

Topic agreement: according to individual agreement

Handing in of written seminar papers: approx. 1 week before Christmas (Winter term) or approx. 1 week before Pentecost (Summer term)

Seminar presentations: approx. 1 - 2 weeks after

 

Suggested topics

Asymptotik

Simple Regression

Hypothesis testing

Distributions and their relations

 

Contact:

 For questions about the seminar please contact emily.fuchs@uni-wuerzburg.de.