Stata for Entrepreneurship Research
Target audience
Researchers in the field of entrepreneurship (or entrepreneurial finance by extension) or with a clear interest towards uncovering datasets on entrepreneurial phenomena
Organizing and scientific committee
Prof. dr. Evy Van Lancker - Department: Marketing, Organisation, and Innovation (EB23)
Dra. Yasmine Van Heghe (co-applicant, responsible for organization and practical arrangements) – Senior PhD researcher at EB23, research group Entrepreneurship and Innovation
Abstract
This three‑day, hands‑on course equips junior researchers in entrepreneurship or with an interest in entrepreneurship research with a robust, reproducible Stata workflow. Using examples from founder teams, venture growth, and survey/panel data, this workshop covers the Stata interface and directory (discovering packages and functions), efficient data import and cleaning for large datasets (labels, recodes, merge/append, reshape, missing values, dates), and good practices for documenting work with do‑files. Participants learn to produce publication‑ready graphs, descriptive statistics and correlation tables, and to run baseline regression analyses that address common entrepreneurship research questions. The format alternates concise lectures with guided labs (Day 1–2) and culminates in an interactive discussion and Q&A (Day 3
Objectives
1 The student understands the basics of Stata.
2 The student can search the Stata directory to understand statistical packages and functions.
3 The student can use Stata to import, clean and process large data sets.
4 The student can produce graphs, descriptive statistics and correlation tables.
5 The student can report on programming activities by writing do-files.
6 The student can develop a data strategy in Stata in line with best practices in entrepreneurship research
Dates and venue
18, 19 and 20 November 2025
Faculty of Economics and Business Administration
Programme
A detailed outline is being developed, in what follows we provide a preliminary overview of this specialist course.
Day 1 – 18 November, 9h – 12h30: Introduction to the Stata interface, the Stata directory and data wrangling in Stata
Day 1 – 18 November, 13h30 – 16h30: Practical application
Day 2 – 19 November, 9h – 12h30: Descriptives, correlations, regression analyses
Day 2 – 19 November, 13h30 – 16h30: Practical application
Day 3 – 20 November, 13h00 – 17h00: Interactive discussion (including Q&A)
Registration
- Follow this link for the registration and waiting list. We check if you are eligible to participate. Due to limited places, we give priority to PhD students. Your registration will be confirmed by separate e-mail (outlook invite).
- Cancellation of your registration can only be performed by sending an email to doctoralschools@ugent.be.
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The no show policy applies.
Registration fee
Free of charge for Doctoral School members.
Number of participants
Maximum 25
Language
English
Training method
A combination of ex-cathedra lectures, practical exercises, and discussion
Evaluation method
After successful participation, the Doctoral School Office will add this course to your curriculum of the Doctoral Training Programme in Oasis. Please note that this can take up to one to two months after completion of the course.