Using Causal Machine Learning to Optimize Social Welfare Policies in Kazakhstan: A Case Study on Cash Transfers and Child-Related Outcomes
Alibi Jangeldin (NITEC JSC)
Identifying Successful Interventions Through Break Detection: A New Machine Learning Approach for Generating Hypotheses
Patrick Klösel (Potsdam Institute for Climate Impact Research)
Conflict in a Warming World: How Climate Shocks Impact Rebel Demands and Peace Agreement Outcomes
Elisa D'Amico (University of St. Andrews)
The Heterogeneous Effects of Active Labour Market Policies in Switzerland
Federica Mascolo (University of St.Gallen), Nora Bearth (University of St.Gallen), Fabian Muny (University of St.Gallen), Michael Lechner (University of St.Gallen), Jana Mareckova (University of St.Gallen)
Mostly Harmless Fixed Effects Regression in Python via PyFixest
Alexander Fischer (Trivago)
Bringing Light to the Threshold: Evaluation of Production Policies Using the Regression Discontinuity Design with Application to LED Manufacturing
Oliver Schacht (University of Hamburg), Philipp Schwarz (Osram), Sven Klaassen (University of Hamburg, Economic AI), Martin Spindler (University of Hamburg, Economic AI)
Causal Machine Learning with Counterfactual Prediction: The User’s Guide
Aurélien Sallin (SWICA), Daniel Ammann (University of Applied Sciences), Tobias Müller (University of Applied Sciences)
A Joint Test of Unconfoundedness and Common Trends
Martin Huber (University of Fribourg), Eva-Maria Oeß (Universität zu Köln)
Testing Identification in Mediation and Dynamic Treatment Models
Martin Huber (University of Fribourg), Kevin Kloiber (University of Munich), Lukáš Lafférs (Matej Bel University, Norwegian School of Economics)
Learning Control Variables and Instruments for Causal Analysis in Observational Data
Nicolas Apfel (University of Southampton), Julia Hatamyar (University of York), Martin Huber (University of Fribourg), Jannis Kueck (Heinrich Heine University Düsseldorf)
Manipulation Tests in Regression Discontinuity Design: The Need for Equivalence Testing
Jack Fitzgerald (Vrije Universiteit Amsterdam)
Arguing for Covariate Balance
Jeffrey J. Harden (University of Notre Dame)
NovoGraphs: A Benchmark for Evaluating the Generalizability of LLM-Based Graph Discovery
Ashutosh Srivastava (IIIT Hyderabad), Lokesh Nagalapatti (IIT Bombay), Gautam Jajoo (Microsoft Research), Amit Sharma (Microsoft Research)
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
George Gui (Columbia Business School), Olivier Toubia (Columbia Business School)
Teaching Transformers Causal Reasoning Through Axiomatic Training
Aniket Vashishtha (UIUC), Abhinav Kumar (MIT), Atharva Pandey (Microsoft Research), Abbavaram Gowtham Reddy (IIT), Vineeth N Balasubramanian (IIT), Amit Sharma (Microsoft Research)
Implicit Personalization in Language Models: A Systematic Study
Zhijing Jin (MPI & ETH Zürich), Nils Heil (TUM), Jiarui Liu (Carnegie Mellon), Shehzaad Dhuliawala (ETH Zürich), Yahang Qi (ETH Zürich), Bernhard Schölkopf (MPI), Rada Mihalcea (University of Michigan), Mrinmaya Sachan (ETH Zürich)
RoundtableIndustry Roundtable
Evan Peet (Amazon), Micah Gell-Redman (Google), Wenjing Zheng (Roblox), YinYin Yu (LinkedIn)
Leveraging a Natural Experiment to Estimate the Impact of Customer Satisfaction in Contact Centers
Felipe Bahamonde (LATAM Airlines), Paolo Gorgi (acmetric), Hyeokmoon Kweon (Vrije Universiteit Amsterdam), Leandro Magga (LATAM Airlines), Sebastián Orellana (LATAM Airlines)
Regression Adjustments for Experimental Designs in Two-Sided Marketplaces
Timothy Sudijono (Stanford University), Lihua Lei (Stanford University)
Data Leakage in Recommendation System A/B Tests
Roshni Sahoo (Stanford University), Jennifer Brennan (Google Research), Zak Mhammedi (Google Research), Jean Pouget-Abadie (Google Research)
Large Scale Longitudinal Experiments: Estimation and Inference
Apoorva Lal (Netflix), Alex Fischer (Trivago), Matthew Wardrop (Netflix)
PodcastCausal Bandits Live Podcast
Alexander Molak (Causal Bandits Podcast), Ciarán M.Gilligan-Lee (Spotify)