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June 2020 Estimation of dyadic characteristics of family networks using sample survey data
Chris Skinner, Fiona Steele
Ann. Appl. Stat. 14(2): 706-726 (June 2020). DOI: 10.1214/19-AOAS1308


We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to noncoresident parent–child dyads. We suppose that survey respondents report either from a parent or child perspective about a dyad, depending on their membership of the dyad. We construct separate estimators of common dyadic characteristics using data from both a parent and a child perspective and show how comparisons of these estimators can shed light on data quality issues including differential missingness and reporting error. In our application we find that a simple missingness model explains some striking patterns of discrepancies between the estimators and consider the use of poststratification and a related redefinition of count variables to adjust for these discrepancies. We also develop approaches to combining the separate estimators efficiently to estimate means and frequency distributions within subpopulations.


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Chris Skinner. Fiona Steele. "Estimation of dyadic characteristics of family networks using sample survey data." Ann. Appl. Stat. 14 (2) 706 - 726, June 2020.


Received: 1 March 2019; Revised: 1 August 2019; Published: June 2020
First available in Project Euclid: 29 June 2020

zbMATH: 07239880
MathSciNet: MR4117826
Digital Object Identifier: 10.1214/19-AOAS1308

Keywords: Coresident , network sampling , poststratification , reporting error

Rights: Copyright © 2020 Institute of Mathematical Statistics


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Vol.14 • No. 2 • June 2020
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