Class 9- Do Teenagers Respond to HIV Risk information? (Dupas,2011) Flashcards
Who wrote “Do teenagers respond to HIV Risk Information?”
Dupas in 2011
What was the main aim of the paper?
To find out the response of teenagers unprotected sex levels when given (HIV) risk reduction information compared to risk avoidance.
What are risk reduction measures
To teach teenagers how to reduce their risk of HIV by giving them information about protection and that on average older partners are more likely to have HIV
What are risk avoidance measures
To advise teenagers to abstain from sex until marriage in order to avoid HIV
What are intensive margins?
Advising on what type of sex to have and with whom (age). Risk reduction programs use intensive margins
What are extensive margins?
Advise on whether to have sex or not. Risk avoidance programs use these margins.
Why might giving teenage girls information about the level of HIV by age reduce their risk of contracting HIV?
Risk avoidance programs just tell girls the overall HIv rate rather than dissagregating by age. If girls are made aware that older men are more likely to have HIV, they may substitute away from them to boys the same age as them and thus reduce their risk of contracting HIV.
What are the keypoints of the data set ?
328 schools took part.
This was a randomized control trial. 71 schools were randomly chosen to have the “Relative Risk Information Campaign” at their schools and the others had the “Teacher Training Program” where information about differing HIV rates by age were not given.
What does previous literature say about the impact on teenagers in Africa’s sexual behaviour when sexual education is given ?
Gallant in 2004 looked at the effect of HIV education programs in Africa. The results of this review is likely biased as peoples riskiness habits (i.e condom use) was self-reported and people are likely to underestimate their risk levels.
What are the predictions (hypothesese) of the study from the Teacher Training side?
That for girls who over estimated the risk of HIV before the program their demand for unprotected sex will rise following.
For girls who underestimated the risk of HIV prior they may demand a higher transfer from their sugar daddy to have unprotected sex due to the risk. If the man can meet this demand, the level of unprotected sex will stay the same but if they can’t it’ll fall.
Girls already aware of the level of risk of HIV won’t change their behaviour
What were the predictions (hypothesese) of the study from the Relative Risk Information side?
If all men no matter the age are willing to give the same transfer to these girls no matter there age, then girls will change their behaviour to have less risky sex (so boys the same age as them).
If girls that were previously abstaining from sex upon hearing the Relative Risk info realise that teenagers are less risky than the population as a whole so may begin having sex.
If teenage boys however have a lower reservation transfer the effect can be ambiguous:
The girls may remain with the older man but be able to get a larger transfer as she is now more aware of the higher risk she is taking by being with an older man/
Or, if the girl is in desperate need for the high transfer that is gained with older men but wants to reduce her risk, she may sleep with several boys her age so she can remain on the same level of income as she had with the older man.
This would lead to a rise in unprotected sex.
When did each of the programs take place?
The Teacher Training program on average rates of HIV and abstinence was rolled out in 2003 to students of all grades
The Relative Risk Information campaign was implemented in 71 schools in 2004 for only students in the 8th grade.
How was the degree of unprotected sex of teenage girls measured?
The change in pregnancy levels was used as an objective measure. Pregnant girls would be interviewed to ask the age of the babies father. This was done to compare the level of unprotected sex with boys their age compared to older men.
Are pregnancies a perfect measure of the degree of unprotected sex?
No as anal sex could occur and this is highly risky for HIV transmission.
What was the simple regression used to estimate the impact of the interventions?
Yis1=a1+B1RRs+X1TTs+I’U+Eis
Yis1 is a dummy variable that tells us if the girl I, from school s was pregnant a year after the intervention.
B1 is the average effect of coming from a RR treatment school compared to a RR comparison school. (Where RR didn’t take place )Given that dummy RR=1
We assume there is no OVB
I is a vector of controls for background characteristics.