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


The course “Introduction to Secondary Data Applications in Management Research with Stata” takes place in the winter term 2023/24.

The course consists of two parts:

Day 1 and Day 2 on 26 and 27 September 2023 will take place virtually via Zoom.

Day 3 and Day 4 on 17 and 18 October 2023 take place in person.

The course will take place all day each day. 

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



Credit Points


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“)


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


  • 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


Compulsory attendance

Application period

Registration is possible until 22 September 2023.


Jonathan Hoke