Below is the program of the 2022 Swiss Stata Conference, which takes place on November 18, 2022, at the University of Bern (also see https://www.stata.com/meeting/switzerland22/).

Note that is possible to attend the conference remotely. See https://ritme.com/en/swiss-stata-conference-2022-register-now/ for registration options.

Deadline for registration is tomorrow, November 11.

Best, Ben Jann

*** Program:

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 ***