| Correcting Estimates of HIV Prevalence Due to Survey Non-Participation in India Using Heckman Selection Model |
| Authors: |
Shrikant Singh, Swati Srivastava, and Ashish Kumar Upadhyay |
| Source: |
Demography India, 44(1&2): 17-30 |
| Topic(s): |
HIV/AIDS
Non-response bias
|
| Country: |
Asia
India
|
| Published: |
JAN 2015 |
| Abstract: |
Using the data from the third round of National Family Health Survey and Heckman
Selection Model this paper aims to determine the estimates of HIV prevalence in India due to
survey non-participation. Interviewer ID was taken as the selection variable, which affects the
survey participation but did not affect HIV status independently. Study also compared the
estimates of Heckman selection model to conventional imputation model. It has been found
that prevalence of HIV is greater among men (0.77; 95% CI= (0.71-0.83)) and women (0.42;
95% CI= (0.39-0.45)), who did not participate in the survey as compare to those who
participated in HIV test (0.35 for men & 0.22 for women). Thus, the national estimate for
men and women derived from selection model was higher than the unadjusted imputation
method. Results of this study demonstrate that the selection variable was significantly
associated with the HIV status of the men and women. Further, this study shows the
significant association between the survey participation and the HIV status of those who has
been interviewed but did not consent to the HIV test, which clarifies that the sample selection
led to substantial underestimation of the national HIV prevalence in men and women.
Therefore, a valid and efficient way to provide the estimate of HIV prevalence is to
incorporate the Heckman selection model instead of the conventional method to provide an
estimate of the national prevalence. |
| Web: |
http://demographyindia.in/article_document/2/3322117-30.pdf |
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