Lecture: Issues in Economics Data Science I: High Quality Research Data - Details

Lecture: Issues in Economics Data Science I: High Quality Research Data - Details

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General information

Course name Lecture: Issues in Economics Data Science I: High Quality Research Data
Semester WiSe 2024/25
Current number of participants 16
Home institute Dekanat Wirtschaftswissenschaftlicher Bereich
participating institutes Leibniz-Institut für Agrarentwicklung in Transformationsökonomien, VWL, insb. Ökonometrie und empirische Wirtschaftsforschung
Courses type Lecture in category Offizielle Lehrveranstaltungen
First date Tuesday, 08.10.2024 14:00 - 16:00, Room: Raum 222 (Raum 57) [WiWi]
Participants The aim of this course is to provide students with the necessary methodological skills to obtain and handle the desired data for their scientific work/thesis. The target audience are master students, however is also open for participants at other qualification levels
Pre-requisites •The course aims at junior researchers from the field of economics, sociology and geography. There is no specific requirement on the analytical or theoretical background of the participants.
•To adapt the curriculum to individual needs, participants will be asked to fill a short questionnaire on their research interests prior to the course.
•Exercises will be conducted along the software R. Various software solution like Stata, ArcGIS or SurveySolutions will be presented, but require no previous knowledge or software installation for the participants.
Performance record Grades and course credits (5 ECTS) are allocated for completing exercises during the course and the successful submission of one essay (topics will be anounced).
Studiengänge (für) gemäß Modulverknüpfung
SWS 2
ECTS points 5

Module assignments

Comment/Description

The quality of research data has strong influence on the success of any scientific work. Meanwhile, the selection, collection and processing of data influences the quality and time required for the research. This course offers guidelines to plan data strategy and thus build the fundament for a high-quality thesis. The aim of this lecture is to improve practical, basic methodological and analytical skills of participants in preparation and is thus complimentary to existent courses on statistics and econometrics.