8 citations · 17 across the 7 of their papers we have counts for
10 papers
Parallel Trends as a Spectrum
Kyle Schindl, Joseph Fry, Florian Gunsilius +1
Difference-in-differences (DiD) designs are typically used to identify and estimate average causal effects, even though treatment can affect the entire outcome distribution. This h…
Partial identification with entropy regularized optimal transport
Bruno N. Costa, Florian F. Gunsilius
In many statistical settings, the available data and maintained assumptions do not suffice to uniquely identify the model parameters of interest. In such cases, one can only identi…
A condition for the identification of multivariate models with binary instruments -- with Corrigendum and Addendum
Florian Gunsilius
This article introduces an empirical condition for the nonparametric point-identification of multivariate instrumental variable models with continuous endogenous variables using bi…
Tangential Wasserstein Projections
Florian Gunsilius, Meng Hsuan Hsieh, Myung Jin Lee
We develop a notion of projections between sets of probability measures using the geometric properties of the 2-Wasserstein space. It is designed for general multivariate probabili…
Matching for causal effects via multimarginal unbalanced optimal transport
Florian Gunsilius, Yuliang Xu
Matching on covariates is a well-established framework for estimating causal effects in observational studies. The principal challenge stems from the often high-dimensional structu…
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
William Torous, Florian Gunsilius, Philippe Rigollet
We propose a nonlinear difference-in-differences method to estimate multivariate counterfactual distributions in classical treatment and control study designs with observational da…
Distributional synthetic controls
Florian Gunsilius
This article extends the widely-used synthetic controls estimator for evaluating causal effects of policy changes to quantile functions. The proposed method provides a geometricall…
A path-sampling method to partially identify causal effects in instrumental variable models
Florian Gunsilius
Partial identification approaches are a flexible and robust alternative to standard point-identification approaches in general instrumental variable models. However, this flexibili…
Point-identification in multivariate nonseparable triangular models
Florian Gunsilius
In this article we introduce a general nonparametric point-identification result for nonseparable triangular models with a multivariate first- and second stage. Based on this we pr…
Non-testability of instrument validity under continuous endogenous variables
Florian Gunsilius
This note presents a proof of the conjecture in \citet*{pearl1995testability} about testing the validity of an instrumental variable in hidden variable models. It implies that inst…