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Join us in Cluj-Napoca, Romania for the first Carpathian Stata Conference at Universitatea Babeș-Bolyai!
Meet researchers from different disciplines, discover new applications highlighting Stata’s potential capabilities for applied research, exchange new community-contributed commands developed for Stata, and interact directly with statisticians from StataCorp. There will be an optional workshop on 28 July.
Considered the unofficial capital of Transylvania, Cluj-Napoca is home to a diverse cultural scene, vibrant nightlife, and landmarks such as Saint Michael's church, the Palace of Justice, and a collection of theaters and museums.
All users are encouraged to submit abstracts to present. A subset will be chosen from submitted abstracts for either a short (15-minute) or a long (25-minute) presentation (both to be followed by 5 minutes for questions). Any topic related to Stata or relevant to Stata users is appropriate, including the following:
For examples of past presentations, view the proceedings page.
If you would like to discuss an idea for a presentation or have questions about the program format, please contact us directly. Presentations longer than 25 minutes will be considered at the discretion of the committee. Accepted speakers will be asked to attend and present at the conference in person.
Please submit an abstract of no more than 200 words (ASCII text, no math symbols). Include a short informative title, and indicate whether you wish to be considered for a short (15-minute) or long (25-minute) presentation. In addition, if your presentation has multiple authors, please identify the presenter, for whom the conference registration fee will be waived.
The deadline for submissions is 30 May 2026.
Presenters will also be asked to provide the organizers with electronic materials (a copy of the presentation and any programs or datasets, where applicable).
Sebastian Kripfganz
University of Exeter
In dynamic models with unobserved group-specific effects, the lagged dependent variable is an endogenous regressor by construction. The conventional fixed-effects estimator is biased and inconsistent under fixed-T asymptotics. To deal with this problem, "difference GMM" and "system GMM" estimators are predominantly applied in practice. I discuss recent developments in this area and present the Stata package xtdpdgmm, which provides a lot of flexibility in specifying the estimator - including nonlinear moment conditions, forward-orthogonal deviations, iterated or continuously-updated GMM, and doubly-robust standard errors. Useful postestimation features include overidentification and underidentification tests, as well as newly proposed serial-correlation tests.
Enrique Pinzón
StataCorp
In this talk, I will introduce the new xtswitchdid command, which provides event-study treatment effects for panel data when subjects are allowed to switch in and out of treatment. This is an implementation of the estimator proposed in de Chaisemartin and Xavier 'D'Haultfoeuille (2024).
I will also discuss how xtswitchdid fits into the DID estimators that have been implemented in the past couple of Stata releases and how it fits the evolution of our understanding of DID.
Christian Brzinsky-Fay
DPC Software GMBH
Teaching Statistics using Stata in a scientific way should involve the usage of Stata programming language instead of only clicking single commands from the pull-down menus. Like in any other language, students very often make small spelling mistakes that cause error messages, which are frustrating at the beginning. The concentration on these formal issues often enough keeps them from intuitively understand the commands’ constructive logic.
In the presentation, I would like to show how teachers can make use of Stata’s markup language (SMCL) in order to construct help files, in which you are able to construct help files, where you can add executable Stata commands. Students are able to follow the commands logic by simply clicking on them and get a better feeling of the command structure before they have to care about spelling issues.
I will demonstrate the construction and the usage of such help files by showing examples of graph commands, which usually have a lot of options, and the relatively new etable command, which is made for table export.
Enrique Pinzón, Director of Econometrics, StataCorp
28 July 2026
This course covers most of the estimators for causal inference available in Stata. We will discuss the following:
We will also present some theoretical results along with worked Stata examples.
The conference will be hosted at Universitatea Babeș-Bolyai, Faculty of Economics and Business Administration. Participants are asked to travel at their own expense. The conference fees include admission to all scientific sessions, materials, breaks, lunches, and dinners.
| Conference fees VAT not incl. |
Student | Other |
|---|---|---|
| Conference | € 25 | € 35 |
| Conference + workshop | € 50 | € 75 |
To ensure affordability and ease of purchase, our official distributor, TStat S.r.l, will accept and process registrations for the conference.
The registration deadline is 22 July 2026.
StataCorp is the logistics organizer for the 2026 Carpathian Stata Conference. The co-organizers are TStat S.r.l., DPC Software GmbH, and Token Communication SRL—the official distributors of Stata in this region and the surrounding regions—and Universitatea Babeș-Bolyai, our host for the conference.
View the proceedings of previous Stata Conferences and international meetings.
