2025 Fall School in Causal Inference and Policy Learning
with applications in Stata

Venue: Hotel Birger Jarl Conference
Stockholm, Sweden
Date: November 17—18, 2025

We’re excited to announce that registration is now open for the 2025 Fall School on Causal Inference and Optimal Policy Learning!

The 2025 Fall School is an intensive 1.5-day course designed for researchers, practitioners, and professionals looking to to deepen their understanding of Causal Inference and gain insight into Optimal Policy Learning, an emerging field that integrates causal insights into data-driven policymaking — from theory to code.

Alternatively, you may also register and pay directly through our webshop.

Instructor

Dr. Giovanni Cerulli is a researcher at the IRCrES-CNR, Research Institute on Sustainable Economic Growth, National Research Council of Italy, Unit of Rome.

He is a leading expert in data science, widely published in top journals, and author of the book Econometric Evaluation of Socio-Economic Programs: Theory and Applications.

Dr. Giovanni will deliver the lectures and guide participants in applying the theoretical framework through hands-on exercises in Stata.

Course Description

This intensive course introduces participants to advanced methods in causal inference, with a special focus on non-binary treatments and data-driven policy learning. Moving beyond the classical binary treatment framework, the course equips students with both theoretical foundations and practical tools to estimate causal effects when treatments are multivalued or continuous, and to learn optimal policy rules from data.

Structured in four modules, the course begins with the basics of causal inference, including the potential outcomes framework and the estimation of average and individual treatment effects. It then expands to multivalued and continuous treatment settings, covering the use of generalized propensity scores and multinomial models. The final module introduces the emerging field of Optimal Policy Learning (OPL), offering participants a modern framework for deriving ex-ante policy recommendations from observational data.

Throughout the course, an emphasis is placed on hands-on implementation using Stata, allowing participants to bridge the gap between theory and practice. Click here to show the full module outline, reading list and time table.

Venue and Logistics

The 2025 Fall School is held at the sleek and welcoming Hotel Birger Jarl, centrally located in Stockholm.

Lunch and fika are included in the fee on both Monday and Tuesday, please specify any dietary restrictions when registering. The hotel also offers discounted accommodation for all course participants (contact us for more details).

Spots are limited. The course is taught in English. Participants are expected to bring their own laptops. A complimentary Stata 19 license will be provided for use during the course.

Prerequisites

General familiarity with Stata, and a course in regression analysis or equivalent experience.

Price

5500 SEK excl. moms (VAT) — Student

7000 SEK excl. moms (VAT) — Academic Faculty

9000 SEK excl. moms (VAT) — Non-academic

Please don't hesitate to contact us if you have any questions.

Terms and conditions apply. Click here for details.