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Valentina A Assenova

Biographic Data

ID5089028
NAMEValentina A Assenova
GIVEN NAMESValentina A
FAMILY NAMEAssenova
SIGNATUREASSENOVA V A
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS51
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2015
H-INDEX1
  • Cluster–Robust Variance Estimation for Dyadic Data

    Open Access•Peter M Aronow, Cyrus Samii et al.•ARTICLE•Political Analysis•2015•Cited by: 51•References: 28

    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 dyads. We propose a non-parametric, sandwich-type robust variance estimator for linear regression to account for such clustering in dyadic data. We enum…

  • Cluster–Robust Variance Estimation for Dyadic Data

    Open Access•Peter M Aronow, Cyrus Samii et al.•ARTICLE•Political Analysis•2015•Cited by: 51•References: 28

    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 dyads. We propose a non-parametric, sandwich-type robust variance estimator for linear regression to account for such clustering in dyadic data. We enum…

  • Cluster–Robust Variance Estimation for Dyadic Data

    Open Access•Peter M Aronow, Cyrus Samii et al.•ARTICLE•Political Analysis•2015•Cited by: 51•References: 28

    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 dyads. We propose a non-parametric, sandwich-type robust variance estimator for linear regression to account for such clustering in dyadic data. We enum…

Artificial Intelligence (1 works) · Causal inference (1 works) · Cluster analysis (1 works) · Computer Science (1 works) · Consistency (knowledge bases (1 works) · Econometrics (1 works) · Economics (1 works) · Estimator (1 works) · Inference (1 works) · Logistic regression (1 works)

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