Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions. (arXiv:2201.05139v1 [econ.EM])

I propose kernel ridge regression estimators for long term causal inference,
where a short term experimental data set containing randomized treatment and
short term surrogates is fused with a long term observational data set
containing short term surrogates and long term outcomes. I propose estimators
of treatment effects, dose responses, and counterfactual distributions with
closed form solutions in terms of kernel matrix operations. I allow covariates,
treatment, and surrogates to be discrete or continuous, and low, high, or
infinite dimensional. …

arxiv causal inference kernel regression responses