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Call for presentations

The 20th Italian Stata Conference will take place on 17 September 2026 in Milan. There will also be an optional workshop on 18 September.

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.

Presentation guidelines

The scientific committee is especially interested in presentations about community-contributed commands focused on the following:

  • New estimation methods
  • Short and long community-contributed routines for the “Tips and Tricks” session
  • Stata's connectivity to external applications such as Python, R, or Java
  • Reporting tools for the creation of dynamic dashboards or automatic internet publishing
  • Data visualization

Applied studies exploiting the latest methodologies introduced in Stata 19 are also welcome.

For examples of past presentations, view the proceedings page.

Submitting your presentation

If you are interested in presenting, submit your abstract to the scientific committee. Please include a short, informative title, and indicate whether you wish to give

  • a 25-minute talk (followed by a 10-minute discussion);
  • a longer presentation (indicate an estimated presentation time in your email); or
  • a 5- to 25-minute “Tips and Tricks” presentation.

Include your name, affiliation, and phone number. If your presentation has multiple authors, please identify the presenter.

The deadline for submissions is 15 July 2026.

Submit abstract


Keynote session: AI agents for research workers

Scott Cunningham, PhD
Ben H. Williams Professor of Economics, Baylor University

Workshop: Modern difference in differences: New problems, new solutions

Instructor

Scott Cunningham, PhD

Date

18 September 2026

Description

  • Session I: Simple DID designs
    • The 2×2 design
    • 2×T event studies
    • Parallel trends
    • Interpreting ATT parameters as estimands
    • Clustering and standard errors
  • Session II: Violations of parallel trends
    • Covariates
    • Triple differences
    • Compositional changes over time
    • Addressing weak overlap
  • Session III: Differential timing
    • Two-way fixed-effects problems
    • Goodman–Bacon decomposition, Callaway and Sant‘Anna, Sun and Abraham, Borusyak et al., Wooldridge
    • Imputation versus weighting estimators
  • Session IV: Sensitivity analysis
    • Bounding parallel-trends violations
    • Sensitivity of results across packages and languages
  • Session V: Continuous DID and dosage designs
    • Extending DID to continuous treatments and dosage frameworks
  • Session VI: A modest suggestion of checks
    • Walkthroughs using several empirical examples, all in Stata
    • Practical guidance on reporting and diagnostics

Prerequisites

  • Prior experience with Stata is expected.
  • Working knowledge of linear regression and basic familiarity with panel-data concepts (fixed effects, clustering).
  • No prior exposure to the new DID literature is assumed—the workshop builds from the ground up.

Visit the official workshop page for more information.


Scientific committee

Una-Louise Bell
TStat – TStat Training
Rino Bellocco
Università degli Studi di Milano-Bicocca
Giovanni Capelli
Istituto Superiore di Sanità
Giovanni Cerulli
IRCRES-CNR
Jan Ditzen
Libera Università di Bolzano
Maurizio Pisati
Università degli Studi di Milano-Bicocca

Presenters from StataCorp

Di Liu

Di Liu is a Principal Econometrician in the econometric development team at StataCorp LLC. Di is fascinated by writing statistical software for researchers and doing research in both theoretical and applied econometrics. He is the primary developer of some Stata features, including heterogeneous DID, instrumental-variables quantile regression, treatment-effects estimation using lasso, lasso for prediction, lasso for inference, spatial autoregressive models, heckpoisson, and betareg. He also published research articles in Canadian Journal of Economics, Econometrics Reviews, Empirical Economics, Econometrics and Statistics, and the Stata Journal. Di has a PhD degree in economics from Concordia University in Montreal, Canada; an engineer's degree in software engineering and statistics from Polytech'Lille in Lille, France; and master's and bachelor's degrees in computer science from Hohai University in Nanjing, China.

Kristin MacDonald

Kristin MacDonald is the Executive Director of Statistical Services at StataCorp LLC. Kristin has been with Stata since 2006. Her primary responsibilities include Stata documentation, statistical aspects of marketing, and coordination of Stata training. She also collaborates with Stata developers, especially in design and documentation of commands for structural equation modeling, multilevel modeling, item response theory, and causal inference. Kristin holds a master's degree in statistics from Texas A&M University.


Registration

Participants are asked to travel at their own expense. Conference fees include breaks, lunch, course materials, and a temporary Stata license for those attending the workshop.

Conference fees
(VAT not incl.)
Student Other
Conference only € 60 € 110
Conference + workshop € 195 € 420

Registration deadline is 10 September 2026.

Register online

Visit the official conference page for more information.

TStat is delighted to sponsor, via our project “Investing in Young Researchers”, two full-time PhD students from any of the countries for which TStat is the official Stata distributor. Sponsorship covers both the first day of the conference and the workshop (including the bed and breakfast accommodation). Travel expenses are to be paid for the participant. To apply for sponsorship, please send your curriculum vitae to [email protected].


Logistics organizer

The logistics organizer for the 2026 Italian Stata Conference is TStat S.r.l., the official distributor of Stata for Italy, Albania, Bosnia and Herzegovina, Greece, Kosovo, North Macedonia, Malta, Montenegro, Serbia, Slovakia, and Slovenia.

View the proceedings of previous Stata Conferences and Users Group meetings.