Estimating heterogeneous causal effects in observational studies using small area predictors

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_4F8F114E8E0A
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Estimating heterogeneous causal effects in observational studies using small area predictors
Journal
Computational Statistics & Data Analysis
Author(s)
Ranjbar S., Salvati N., Pacini B.
ISSN
0167-9473
Publication state
Published
Issued date
08/2023
Volume
184
Pages
107742
Language
english
Keywords
Applied Mathematics, Computational Theory and Mathematics, Computational Mathematics, Statistics and Probability
URN
urn:nbn:ch:serval-BIB_4F8F114E8E0A2
OAI-PMH
oai:serval.unil.ch:BIB_4F8F114E8E0A
DOI
10.1016/j.csda.2023.107742
Web of science
000961556600001
Open Access
Yes
Funding(s)
European Commission
Swiss National Science Foundation / 100018-178964
Create date
17/04/2023 8:34
Last modification date
10/02/2024 7:21
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