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Nonresponse in repeat population-based voluntary counseling and testing for HIV in rural Malawi

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  • Francis Obare

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  • Francis Obare, 2010. "Nonresponse in repeat population-based voluntary counseling and testing for HIV in rural Malawi," Demography, Springer;Population Association of America (PAA), vol. 47(3), pages 651-665, August.
    • Handle: RePEc:spr:demogr:v:47:y:2010:i:3:p:651-665
    DOI: 10.1353/dem.0.0115
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    References listed on IDEAS

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    1. Duncan Thomas & Elizabeth Frankenberg & James P. Smith, 2001. "Lost but Not Forgotten: Attrition and Follow-up in the Indonesia Family Life Survey," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 556-592.
    2. J. Ties Boerma & Elizabeth Holt & Robert Black, 2001. "Measurement of Biomarkers in Surveys in Developing Countries: Opportunities and Problems," Population and Development Review, The Population Council, Inc., vol. 27(2), pages 303-314, June.
    3. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
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    Cited by:

    1. Bruno Arpino & Elisabetta De Cao & Franco Peracchi, 2011. "Using panel data to partially identify HIV prevalence when HIV status is not missing at random," EIEF Working Papers Series 1113, Einaudi Institute for Economics and Finance (EIEF), revised Aug 2011.
    2. Giampiero Marra & Rosalba Radice & Till Bärnighausen & Simon N. Wood & Mark E. McGovern, 2017. "A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 484-496, April.
    3. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    4. Wendy Janssens & Jacques Gaag & Tobias Rinke de Wit & Zlata Tanović, 2014. "Refusal Bias in the Estimation of HIV Prevalence," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 1131-1157, June.
    5. Tomoki Fujii & Denis H.Y. Leung, 2014. "Bound estimator of HIV prevalence: Application to Malawi," Working Papers 17-2014, Singapore Management University, School of Economics.

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