Invited talk, CPP/LTP Colloquium, Leiden University, Netherlands
An argument against the standard comparative definition of discrimination (treating someone worse than a suitable comparator), in favour of a simpler causal definition that does not require a comparator.
Conference talk, Philosophy of Causal Inference in Economics, Jagiellonian University, Kraków, Poland
Revisiting the disputes between the potential-outcomes and graphical frameworks in econometrics, building on my 2023 paper and Imbens’s response. I argue that economists need causal graphs too.
Conference talk, EPSA 2025, University of Groningen, Netherlands
Introducing a counterfactual theory of actual causation built on structural equation models, developed to better match the causal intuitions that philosophers bring to standard scenarios such as Suzy and Billy’s rocks.
Invited comments, EIPE Seminar, Erasmus University Rotterdam, Netherlands
Comments delivered at a seminar with Nobel laureate Guido Imbens that I organised at EIPE. In response to Imbens (2020), I argue that the potential-outcomes and DAG frameworks are complementary: PO is best suited for developing particular causal methods, while graphical models are best suited for formulating and verifying causal assumptions.
Conference talk, Causality for Ethics and Society, MCMP, Munich, Germany
A defence of the ‘‘perception approach’’ to defining and measuring discrimination against recent criticisms by Kohler-Hausmann and Weinberger, using causal models.