ESTIMATING AVERAGE CAUSAL EFFECTS UNDER GENERAL INTERFERENCE, WITH APPLICATION TO A SOCIAL NETWORK EXPERIMENT

This paper presents a randomization-based framework for estimating causal effects under interference between units motivated by challenges that arise in analyzing experiments on social networks. The framework integrates three components: (i) an experimental design that defines the probability distri...

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Bibliographic details
Volume: 11
Main Author: Peter M. Aronow
Cyrus Samii
Format: Journal Article
Language: English
Place of publication: CLEVELAND Institute of Mathematical Statistics 01.12.2017
INST MATHEMATICAL STATISTICS
published in: The annals of applied statistics Vol. 11; no. 4; pp. 1912 - 1947
Data of publication: 20171201
ISSN: 1932-6157
1941-7330
EISSN: 1941-7330
Discipline: Mathematics
Subjects:
Online Access: Fulltext
Database: Social Sciences Citation Index
Web of Science - Science Citation Index Expanded - 2017
Web of Science - Social Sciences Citation Index - 2017
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Science Citation Index Expanded
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arXiv Statistics
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