piwik-script

Deutsch Intern
    Chair of Econometrics

    Core electives

    Computer Lab in Regression Analysis (Computerpraktikum: Quantitative Wirtschaftsforschung 10162000)

    Tamara Schamberger M.Sc.

    Offered in: summer and winter term

    start: 14.04.2021

    For the theoretical contents, there will be videos offered in the WueCampus course. Additionally, there will be Exercises 5 times during the semester that will be live via Zoom. You can find the structure of the course here. Note: The videos will be offered at the beginning of each week, so you can decide on your own, when you want to listen to the videos.

    Note: The same lecture is held in German under the name "Computerpraktikum" (see above). You do NOT need to attend both.

    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

    There will be a paper-based exam at the end of the semester.

    For ERASMUS students: You also have to register for the exams at Mrs. Stopinska.

    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

     

    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.

    For this lecture a one-hour exercise (following the two-hour lecture) is offered.

    Dates

    Part 1

    Friday, xxth April 2020, 2 - 4:15 pm: Introduction + theory R

    Saturday, xxth April 2020, 10 am - 1:30 pm: Theory und exercise

    Part 2

    Friday, xxth April 2020, 2:30 pm - 5:30 pm Scoutbee GmbH, Würzburg (Excursion 1)

    Saturday, xxth April 2020, 10 am - 1:30 pm: Theory und exercise

    Part 3

    Tuesday, xxth May 2020, 3 pm - 5:30 pm: Agentur für Arbeit, Würzburg (Excursion 2)

    Friday, xxth May 2020, 12 - 20 pm: WiFOR, Darmstadt (Excursion 3)

    Review & Exam

     Friday, xxth May 2020, 2 - 4:15 pm: Review - Theory und Exercise (Room: Uni Sanderring, CIP-Pool, 4.OG)

     Friday, xxth July 2020, 2 - 3 pm: Exam (Room: Uni Sanderring, Ort: xxx)

     

    For further information see WueStudy and WueCampus.

    Contact

    lukas.kagerbauer@uni-wuerzburg.de