eventReplication Studies in Economics (and related empirical social science) (S)
person Christian Pfeifer

Nächster Termin: Am 13. Oktober um 16:15 Uhr

Termine

wöchentlich | Dienstag | 16:15 - 17:45 | 13.10.2026 - 26.01.2027 | C 6.320 Seminarraum

Studienplankontext

Kombinierte wissenschaftliche Arbeit
Search for journal paper that can be replicated. Prepare a one-pager and short verbal presentation in class (to get feedback on your idea, data, method, software etc.). (25%)
Final presentation of your own replication study in class (incl. discussion of methods and programming). Attendance and discussion of presentations by other students. (75%)
Prüfungstermin: Dienstag, 26.01.2027
Wiederholungstermin: Zu dieser Prüfung wird kein Wiederholungstermin angeboten, da sie didaktisch untrennbar mit einer der zugeordneten Lehrveranstaltungen verbunden ist. Die Wiederholung der Prüfungsleistung ist somit erst bei erneutem Modulangebot möglich.
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organisatorisches

Seminar
Vollständig Präsenz
2
zentrales Losverfahren (mit Teilnehmerbegrenzung)
15

Anmeldung

zentrales Losverfahren (mit Teilnehmerbegrenzung)

Die Anmeldung beginnt erst am 02.10.2026 um 08:00 Uhr. Sie endet am 12.10.2026 um 23:59 Uhr

Personen

Inhaltliches

Englisch
Replication Studies in Economics (and related empirical social science)
keine

Good empirical research in science, including Economics and other social sciences, should be replicable. Replication studies usually focus on the robustness of empirical findings. They should not be too narrow and rather scientific than pure replications, i.e., they can use (a) different methods and same data or (b) same methods and different data (different time or different population); but no pure reproductions (same method and same data). Typically, such replications can be research notes. The authors usually start by briefly stating literature, theory, methods, data, and findings of the replicated paper, before starting the own replication, and finishing with a comparison of the results as well as a short discussion. Students select a replicable journal paper and conduct an own replication study.

After the first meetings, in which students are introduced to replications (focus on economics) and the organization of the course, students have to search for an empirical journal paper (ranked in Scopus or SSCI), which can be replicated. To be replicable, a selected paper should ideally have stored the statistical files (and sometimes even the data) on the journal homepage (or related repositories). These papers are shortly verbally discussed in the class to check their fit for a replication. Then students conduct their own empirical replication study for their selected journal paper, which will be presented in class.

Students will get a deeper understanding of econometric methods, interpretation of empirical findings, critical evaluation, and conducting own empirical analysis. Students will learn how to read journal papers and how to present empirical research in oral communication as well as in visual and written presentation.

Students should have a good understanding of statistical methods and of a statistical software (e.g., Stata) to conduct replications on their own. This seminar does neither give an introduction to empirical methods nor to programming. Stata can probably be provided for the necessary time period by the Institute of Economics. In the seminar, we will mainly discuss your own replications. Help will be provided in terms of selecting a paper for the replication, structuring the own specific replication, and specific questions about methods and programming in Stata.

Evaluation

Die Lehrveranstaltung ist derzeit nicht zur Evaluation angemeldet.

Weitere Informationen zur Lehrevaluation: https://www.leuphana.de/lehre/qualitaetsmanagement/evaluation/lehrveranstaltungsevaluation.html

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