Cluster–Robust Variance Estimation for Dyadic Data

Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that errors are thus likely correlated across these dy...

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Bibliographic details
Volume: 23
Main Author: Aronow, Peter M
Samii, Cyrus
Assenova, Valentina A
Format: Journal Article
Language: English
Place of publication: New York, US Cambridge University Press 20150000
Oxford University Press
published in: Political analysis Vol. 23; no. 4; pp. 564 - 577
Data of publication: 20150000
ISSN: 1047-1987
EISSN: 1476-4989
Alternate Title: PeterM. Aronow et al.
Variance Estimation for Dyadic Data
Discipline: Political Science
Online Access: available in Bonn?
Database: Social Sciences Citation Index
Web of Science - Social Sciences Citation Index - 2015
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Web of Science
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