On the Assumption of Bivariate Normality in Selection Models: A Copula Approach Applied to Estimating HIV Prevalence
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- McLaren, Z. & Burger, R., 2016. "A New Econometric Method for Estimating Disease Prevalence: An Application to Multi-Drug Resistant Tuberculosis," Health, Econometrics and Data Group (HEDG) Working Papers 16/26, HEDG, c/o Department of Economics, University of York.
- Mark E. McGovern & Kobus Herbst & Frank Tanser & Tinofa Mutevedzi & David Canning & Dickman Gareta & Deenan Pillay & Till Bärnighausen, 2016. "Do Gifts Increase Consent to Home-based HIV Testing? A Difference-in-Differences Study in Rural KwaZulu-Natal, South Africa," CHaRMS Working Papers 16-05, Centre for HeAlth Research at the Management School (CHaRMS).
- Marra, Giampiero & Wyszynski, Karol, 2016. "Semi-parametric copula sample selection models for count responses," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 110-129.
- 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.
- Giampiero Marra & Rosalba Radice & Till Bärnighausen & Simon N. Wood & Mark E. McGovern, 2016. "A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses," Economics Working Papers 16-02, Queen's Management School, Queen's University Belfast.
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