Doctoral Course: Introduction to Secondary Data Applications in Management Research with Stata

Format

The course “Introduction to Secondary Data Applications in Management Research with Stata” takes place in the winter term 2022/23.

The course consists of two parts:

Day 1 and Day 2 on September 19 and 20, 2022 will take place virtually via Zoom.

Day 3, Day 4, and Day 5 on October 17, 18, and 19, 2022 take place in presence (if possible).

The course will take place all day each day (except Day 5). 

Target group

  • Doctoral students working in the fields of strategic management, organization, and entrepreneurship that are interested in secondary data applications
  • Master students from the Minor Research

Language

German/English

Credit Points

6

Participants receive a certificate according to § 9 of the Studienordnung zum Promotionsstudium vom 10. Oktober 2002 / § 7 of the Promotionsordnung der Wirtschaftswissenschaftlichen Fakultät der WWU vom 23.07.2018 for participation in this course: Wissenschaftstheorie und Methoden (“A-Schein“/“Forschungsmethoden“)

Content

The course focuses on the analysis of panel and secondary data in empirical management research. Participants will learn to conduct panel (data) analysis using the statistical software Stata 17. Fixed-effects models, moderator analyses, and standard error clustering will also be addressed. Participants will prepare data according to the guidelines of current management publications using a secondary dataset and present their results graphically and in tabular form. Furthermore, this course will demonstrate how to prepare and document Stata commands and the data according to the guidelines of reputable economic journals. 

The focus of this course is on applying the above aspects in the context of empirical management research. The primary target audience is doctoral students in the fields of strategic management, organization, or entrepreneurship, as well as master students in the Minor Research.

Professional skills

Participants will learn to

  • analyze panel data from archival sources (e.g., Compustat, Execucomp, Thomson Reuters Eikon)
  • perform regression analyses in the context of management research 
  • build fixed-effects models and standard error clustering 
  • interpret descriptive and univariate analyses and deriving implications for management research
  • present results graphically similar to current management research publications
  • identify endogeneity issues discussion of potential mitigation measures (e.g., omitted variable bias, reverse causality)
  • prepare Stata commands and research data according to the guidelines of renowned economic journals

Examination

  • Text file containing Stata commands (do-File) for case study (including all steps for a fully functioning code)
  • Preparation of a PowerPoint presentation document
  • Presentation of the PowerPoint document in class followed by an extensive Q&A session and discussion on the topic

Attendance

Compulsory attendance

Application period

Registration is possible until September 11, 2022.

Contact

Jonathan Hoke

jhoke@uni-muenster.de