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Using Directed Acyclical Graphs to Clarify Control Variables and Identification; Topic Modeling: Rendering New Theory From Textual Data
The 2022 SMS Research Methods Community Doctoral and Junior Faculty Consortium will take place over three sessions. In this first session, two presentations will be shown.

The first will be from Paul Hünermund of Copenhagen Business School, who will present on "Using Directed Acyclical Graphs (DAGs) to clarify Control Variables and Identification." DAGs are a powerful tool to clarify threats to identification as well as when controls are good or when they are “bad”, and should be in any empirical researcher’s toolkit.

The second will be from Richard Haans of the Rotterdam School of Management, who will present on "Topic Modeling: Rendering New Theory from Textual Data." Topic modeling has been increasingly used to analyze textual data. These methods can enable scholars to develop better understandings of strategic decisions.

Both speakers have provided reading materials ahead of the webinar and reading them ahead of time is highly recommended:

DAGs:
Hünermund, Paul, and Elias Bareinboim. 2019. “Causal Inference and Data Fusion in Econometrics.” arXiv [econ.EM]. arXiv. http://arxiv.org/abs/1912.09104.

Hünermund, Paul, and Beyers Louw. 2020. “On the Nuisance of Control Variables in Regression Analysis.” arXiv [econ.EM]. arXiv. http://arxiv.org/abs/2005.10314.

Topic Modeling:
Hannigan, T. R., Haans, R. F., Vakili, K., Tchalian, H., Glaser, V. L., Wang, M. S., ... & Jennings, P. D. (2019). Topic modeling in management research: Rendering new theory from textual data. Academy of Management Annals, 13(2), 586-632. https://drive.google.com/file/d/1KicA9UqmjRhPjczhM2ejnAS7Vy1zj1sJ/view?usp=sharing

*This webinar is open to all 2022 Members of the Strategic Management Society. You can learn more and join here: www.strategicmanagement.net/home/members/overview

Please note that the SMS Office will review your membership status prior to Zoom sending a registration confirmation with the details on how to join.

Apr 29, 2022 08:00 AM in Central Time (US and Canada)

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