Bayesian model averaging for nonparametric discontinuity design.

Quasi-experimental research designs, such as regression discontinuity and interrupted time series, allow for causal inference in the absence of a randomized controlled trial, at the cost of additional assumptions. In this paper, we provide a framework for discontinuity-based designs using Bayesian m...

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Bibliographic Details
Main Authors: Max Hinne, David Leeftink, Marcel A J van Gerven, Luca Ambrogioni
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0270310