Cookies?
Library Header Image
LSE Research Online LSE Library Services

Estimation of dyadic characteristics of family networks using sample survey data

Skinner, Chris J. and Steele, Fiona (2020) Estimation of dyadic characteristics of family networks using sample survey data. Annals of Applied Statistics, 14 (2). pp. 706-726. ISSN 1932-6157

[img] Text (Estimation of dyadic characteristics of family networks using sample data) - Accepted Version
Download (356kB)

Identification Number: 10.1214/19-AOAS1308

Abstract

We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to non-coresident 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 com- mon 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 re- porting 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 re- definition 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.

Item Type: Article
Official URL: https://imstat.org/journals-and-publications/annal...
Additional Information: © 2019 Institute of Mathematical Statistics
Divisions: Statistics
Subjects: H Social Sciences > HQ The family. Marriage. Woman
H Social Sciences > HA Statistics
Q Science > QA Mathematics
Date Deposited: 01 Nov 2019 15:48
Last Modified: 14 Aug 2020 14:54
URI: http://eprints.lse.ac.uk/id/eprint/102338

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics