The Network Survival Method for Estimating Adult Mortality: Evidence From a Survey Experiment in Rwanda.
Adult death rates are a critical indicator of population health and well-being. Wealthy countries have high-quality vital registration systems, but poor countries lack this infrastructure and must rely on estimates that are often problematic. In this article, we introduce the network survival method...
| Published in: | Demography (Springer Nature) Vol. 54; no. 4; pp. 1503 - 1529 |
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| Main Authors: | , , , , |
| Format: | journal article |
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Springer Nature
Aug2017
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=124517065&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 124517065 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography (Springer Nature) issn: 00703370 maglogo: N pubinfo: dt: Aug2017 vid: 54 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 124517065 10.1007/s13524-017-0594-y ppf: 1503 ppct: 26 formats: fmt: @attributes: type: P size: 1.3MB tig: atl: The Network Survival Method for Estimating Adult Mortality: Evidence From a Survey Experiment in Rwanda. aug: au: Feehan, Dennis Mahy, Mary Salganik, Matthew Feehan, Dennis M Salganik, Matthew J affil: Department of Demography , University of California, Berkeley , Berkeley USA Joint United Nations Programme on HIV/AIDS (UNAIDS) , Geneva Switzerland Department of Sociology and Office of Population Research , Princeton University , Princeton USA Department of Demography, University of California, Berkeley, Berkeley, CA, USA Department of Sociology and Office of Population Research, Princeton University, Princeton, NJ, USA su: Rwanda Mortality Population health Death rate Demography Public health Interviewing Social support Socioeconomic factors Research evaluation Research funding Surveys Statistical models Standards sug: subj: Mortality Population health Death rate Demography Public health Interviewing Social support Socioeconomic factors Rwanda Health and Welfare Funds Other Individual and Family Services Research evaluation Research funding Surveys Statistical models Standards keyword: Adult mortality Demographic and Health Surveys Sampling Social networks Survey experiment Adult mortality Demographic and Health Surveys Sampling Social networks Survey experiment ab: Adult death rates are a critical indicator of population health and well-being. Wealthy countries have high-quality vital registration systems, but poor countries lack this infrastructure and must rely on estimates that are often problematic. In this article, we introduce the network survival method, a new approach for estimating adult death rates. We derive the precise conditions under which it produces consistent and unbiased estimates. Further, we develop an analytical framework for sensitivity analysis. To assess the performance of the network survival method in a realistic setting, we conducted a nationally representative survey experiment in Rwanda (n = 4,669). Network survival estimates were similar to estimates from other methods, even though the network survival estimates were made with substantially smaller samples and are based entirely on data from Rwanda, with no need for model life tables or pooling of data from other countries. Our analytic results demonstrate that the network survival method has attractive properties, and our empirical results show that this method can be used in countries where reliable estimates of adult death rates are sorely needed. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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