| Autor: |
Yamaguchi, Kazuo |
| Předmět: |
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| Zdroj: |
Sociological Methodology; 2003, Vol. 33 Issue 1, p343-380, 38p |
| Abstrakt: |
This article introduces a modified Liang-Zeger method for the estimation of the variance-covariance matrix of parameter estimates for models of social network data that include variables to characterize dyadic nonindependence. While the pseudolikelihood method has been used recently to estimate parameters for such models, the issue of estimating their standard errors, or the variance-covariance matrix more generally, has been neglected. This article addresses the issue by proposing a method for such estimation and also presents an illustrative application of the method to empirical social network data. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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