Who benefits from health insurance?:Uncovering heterogeneous policy impacts using causal machine learning.

Kreif, Noemi, Mirelman, Andrew, Moreno Serra, Rodrigo orcid.org/0000-0002-6619-4560 et al. (3 more authors) (2020) Who benefits from health insurance?:Uncovering heterogeneous policy impacts using causal machine learning. Working Paper. CHE Research Paper . Centre for Health Economics, University of York , York, UK.

Abstract

Metadata

Item Type: Monograph
Authors/Creators:
Keywords: policy evaluation,machine learning,heterogeneous treatment effects,health insurance
Dates:
  • Published: 6 October 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York)
The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) > CHE Research Papers (York)
Depositing User: Pure (York)
Date Deposited: 07 Oct 2020 11:10
Last Modified: 08 Feb 2025 00:05
Status: Published
Publisher: Centre for Health Economics, University of York
Series Name: CHE Research Paper
Related URLs:
Open Archives Initiative ID (OAI ID):

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