THO2010DEM

98 no 5 1855 table 10average belief of likelihood of

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: CT (Dependent variable: Likely to be HIV infected ) panel A: HIV negative Baseline survey (1) 0.43 (0.49) Follow-up survey Did not get results (2) 0.49 (0.50) panel B: HIV positive Baseline survey (1) 0.58 (0.50) Got results (3) 0.13 (0.33) Difference (4) (0.03) 20.38*** Follow-up survey Did not get results (2) 0.46 (0.51) Got results (3) 0.5 (0.51) Difference (4) 0.03 (0.12) Notes: Sample includes respondents in Balaka and Rumphi who were tested for HIV and were reinterviewed in 2005. Robust standard errors clustered by village with district fixed effects are in parentheses. Controls also include gender, age, and age squared. “Likely to be infected” is equal to zero if the respondent reported no likelihood of HIV infection, and one otherwise. Sample includes 2,428 HIV-negatives and 165 HIV-positives in the baseline survey and 1,430 HIVnegatives and 72 HIV-positives in the follow-up survey. *** Significantly different from zero at 99 percent confidence level. ** Significantly different from zero at 95 percent confidence level. * Significantly different from zero at 90 percent confidence level. Among the HIV-positives, before being tested, 56 percent believed that there was some likelihood of infection (Table 10, panel B, column 1). At the follow-up survey, among the HIV positives who did not learn their HIV results, 43 percent reported some likelihood of being infected, as compared to 51 percent of those who had learned they were positive who reported some likelihood of being infected. While the difference in belief of infection is not statistically significant between HIV-positives who obtained their results and those who did not, this may be due, in part, to the small sample size of HIV positives (Table 10, panel B, column 4). B. prior Beliefs Another argument as to why learning HIV status may have no measured effect on condom purchases (among the HIV-negatives) is that only individuals who are surprised by their HIV results should be expected to alter their sexual behavior in response to the information. Using data from unmarried respondents interviewed and tested in San Francisco during 1988...
View Full Document

This document was uploaded on 01/28/2014.

Ask a homework question - tutors are online