2022 Swiss Stata Conference, 18 November 2022, in Bern

[Ben Jann]

The fourth Swiss Stata Conference takes place on 18 November 2022 at the Universität Bern. Several speakers have already been confirmed, among them are David Schenck from Stata Corp on Bayesian time series models, Achim Ahrens from ETH Zurich on machine learning, Jan Ditzen from Free University of Bozen-Bolzano on network regressions, and Blaise Melly from University of Bern on panel quantile regression.

Call for Presentations

If you are interested in presenting, submit an abstract of no more than 200 words (ASCII text, no math symbols) to the scientific committee, including a short, informative title. Indicate whether you wish to be considered for a 10-minute or 20-minute presentation (both to be followed by 5 minutes for questions). Include your name, affiliation, and phone number. If your presentation has multiple authors, please identify the presenter. Presenters will be asked to provide the organizers with electronic materials (a copy of the presentation and any programs or datasets, where applicable).

The deadline for submissions is 1 October 2022.

Presentations topics may include

• new community-contributed commands for model estimation, graphing, data management, results reporting, or other purposes,
• new approaches for using Stata together with other software,
• innovative use or evaluations of existing Stata commands,
• new analytic methods of particular relevance to Stata users,
• case studies of using Stata for applications in various disciplines, and
• methods and resources for teaching statistics with Stata or for teaching the use of Stata.

More information and registration

See https://www.stata.com/meeting/switzerland22.

[Ben Jann]

Here is the program of the conference:

08:30 Registration

08:50 Welcome

09:00 pystacked: Stacking generalization and machine learning in Stata
Achim Ahrens (ETH Zurich), Christian B. Hansen (University of Chicago), and Mark E. Schaffer (Heriot-Watt University)

09:25 ddml: Double/debiased machine learning in Stata
Achim Ahrens (ETH Zurich), Christian B. Hansen (University of Chicago), Mark E. Schaffer (Heriot-Watt University), and Thomas Wiemann (University of Chicago)

09:50 Stata-Python API for bulk data download: Example with UN Comtrade
Ka Lok Wong (Steve) (Geneva Graduate Institute)

10:05 Break

10:35 Flexible and fast estimation of quantile treatment effects: The rqr and rqrplot commands
Nicolai T. Borgen (University of Oslo), Andreas Haupt (Karlsruhe Institute of Technology), and Øyvind Wiborg (University of Oslo)

11:00 Stata commands to estimate quantile regression with panel and grouped data
Blaise Melly (Unversity of Bern) and Martina Pons (Unversity of Bern)

11:25 Improved Tests for Granger Non-Causality in Panel Data
Jiaqi Xiao (University of Birmingham), Arturas Juodis (University of Amsterdam), Yiannis Karavias (University of Birmingham), Vasilis Sarafidis (BI Norwegian Business School), and Jan Ditzen (Free University of Bozen-Bolzano)

11:50 Drivers of COVID-19 deaths in the United States: A two-stage modeling approach
Kit Baum (Boston College), Andrés Garcia-Suaza (University del Rosario), Miguel Henry (Greylock McKinnon Associates), and Jesús Otero (University del Rosario)

12:15 Lunch

13:15 Bayesian Time Series in Stata 17
David Schenck (Senior Econometrician at StataCorp)

14:15 Break

14:35 Network regressions in Stata
Jan Ditzen (Free University of Bozen-Bolzano), William Grieser (Texas Christian University), and Morad Zekhnini (Michigan State University)

15:00 Exchangeably weighted bootstrap schemes
Philippe Van Kerm (Luxembourg Institute of Socio-Economic Research and University of Luxembourg)

15:25 Marginal odds ratios: What they are, how to compute them, and why applied researchers might want to use them
Ben Jann (University of Bern) and Kristian Brent Karlson (University of Copenhagen)

15:50 It is all about the data
Maarten Buis (University of Konstanz)

16:15 Break

16:45 btable: Extensive summary tables in Stata
Lukas Bütikofer (University of Bern)

17:00 Visualizing categorical data with hammock plots
Matthias Schonlau (University of Waterloo)

17:25 circlebar: A Stata package for plotting circular bar graphs
Asjad Naqvi (Austrian Institute for Economic Research and Vienna University of Economics and Business)

17:50 Open panel discussion with Stata developers

18:20 End of conference

19:00 Conference dinner

[Ben Jann]

Note that it will be possible to attend the conference online. See https://ritme.com/en/swiss-stata-con...-register-now/ for registration options.
ben