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Refusal bias in HIV data from the Demographic and Health Surveys: Evaluation, critique and recommendations

Country : Singapore
Department : Singapore Management University
Project Title : Refusal bias in HIV data from the Demographic and Health Surveys: Evaluation, critique and recommendations
Researcher : ADEGBOYE, Oyelola A. , FUJII, Tomoki , LEUNG, Denis H. Y.
Keyword : Bias , Demographic and Health Surveys , Missing data , Non-response , Refusals , Malawi , Econometrics , Health Economics
Publisher : Institutional Knowledge at Singapore Management University
Year End : 2019
Identifier : https://ink.library.smu.edu.sg/soe_research/2249 , https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3248&context=soe_research
Source : Research Collection School Of Economics
Abstract / Description :

Non-response is a commonly encountered problem in many population-based surveys. Broadly speaking, non-response can be due to refusal or failure to contact the sample units. Although both types of non-response may lead to bias, there is much evidence to indicate that it is much easier to reduce the proportion of non-contacts than to do the same with refusals. In this article, we use data collected from a nationally-representative survey under the Demographic and Health Surveys program to study non-response due to refusals to HIV testing in Malawi. We review existing estimation methods and propose novel approaches to the estimation of HIV prevalence that adjust for refusal behaviour. We then explain the data requirement and practical implications of the conventional and proposed approaches. Finally, we provide some general recommendations for handling non-response due to refusals and we highlight the challenges in working with Demographic and Health Surveys and explore dierent approaches to statistical estimation in the presence of refusals. Our results show that variation in the estimated HIV prevalence across dierent estimators is due largely to those who already know their HIV test results. In the case of Malawi, variations in the prevalence estimates due to refusals for women are larger than those for men.

References

ADEGBOYE, Oyelola A.,FUJII, Tomoki and LEUNG, Denis H. Y.. (2019). Refusal bias in HIV data from the Demographic and Health Surveys: Evaluation, critique and recommendations.  Singapore: Singapore Management University.
ADEGBOYE, Oyelola A.,FUJII, Tomoki and LEUNG, Denis H. Y.. 2019. "Refusal bias in HIV data from the Demographic and Health Surveys: Evaluation, critique and recommendations".  Singapore: Singapore Management University.
ADEGBOYE, Oyelola A.,FUJII, Tomoki and LEUNG, Denis H. Y.. "Refusal bias in HIV data from the Demographic and Health Surveys: Evaluation, critique and recommendations."  Singapore: Singapore Management University, 2019. Print.
ADEGBOYE, Oyelola A.,FUJII, Tomoki and LEUNG, Denis H. Y.. Refusal bias in HIV data from the Demographic and Health Surveys: Evaluation, critique and recommendations. Singapore: Singapore Management University; 2019.

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