Estimation of dyadic characteristics of family networks using sample survey data

Chris J. Skinner and Fiona Steele

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: 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.

Keywords: coresident; network sampling; poststratification; reporting error (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2020-06
New Economics Papers: this item is included in nep-net
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Published in Annals of Applied Statistics, June, 2020, 14(2), pp. 706 - 726. ISSN: 1932-6157

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