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. Author manuscript; available in PMC: 2014 Jul 7.
Published in final edited form as: Eur J Health Econ. 2013 Feb 2;15(1):41–55. doi: 10.1007/s10198-012-0447-y

Table 5.

Heterogeneity Analysis

A. Sub-sample 1: MSW+ at highest
risk b
(1)
Accept monthly
talks & STI tests
for random $α1
per month
(2)
Accept monthly
talks & tests for
bargaining incentive
$α2 per
(3)
Accept to stay
free of STIs for
random incentive
$α3 per quarter
month
(4)
Accept to stay
free of STI for
bargaining incentive
$α4 per
quarter
Conditional incentive 0.0838 0.0674 0.0470 −0.0098
[0.0346]* [0.0361]+ [0.0115]** [0.0077]
Conditional incentive squared −0.0037 −0.0071 −0.0009 0.0001
[0.0025] [0.0031]* [0.0003]** [0.0001]
Observations 184 182 185 178
Pseudo R-squared 0.120 0.170 0.135 0.088
Acceptance probability 0.734 0.791 0.757 0.809
Elasticities 0.436 −1.545
B. Sub-sample 2: Has HIV or STI c

Conditional incentive 0.1333 0.0905 0.0679 0.0390
[0.074]+ [0.042]* [0.019]** [0.018]*
Conditional incentive squared −0.0084 −0.0088 −0.0017 −0.0011
[0.006] [0.003]** [0.001]** [0.000]*
Observations 94 94 95 97
Pseudo R-squared 0.189 0.280 0.215 0.351
Acceptance probability 0.606 0.777 0.747 0.835
Elasticities 0.953 1.87
C. Sub-sample 3:Low-wealth population d

Conditional incentive 0.1734 0.0795 0.0520 −0.0049
[0.032]** [0.030]** [0.009]** [0.006]
Conditional incentive squared −0.0140 −0.0087 −0.0014 −0.0000
[0.003]** [0.002]** [0.000]** [0.000]
Observations 266 260 266 259
Pseudo R-squared 0.129 0.188 0.165 0.106
Acceptance probability 0.729 0.804 0.793 0.834
Elasticities 0.506 2.03
D. Sub-sample 4: without “appropriate” condom use e

Conditional incentive 0.0538 0.0555 0.0328 −0.0089
[0.032]+ [0.029]+ [0.009]** [0.006]
Conditional incentive squared −0.0056 −0.0073 −0.0010 −0.0000
[0.002]* [0.002]** [0.000]** [0.000]
Observations 315 312 321 313
Pseudo R-squared 0.0475 0.185 0.109 0.203
Acceptance probability 0.717 0.756 0.791 0.792
Elasticities 0.307 0.014
E. Sub-sample 5: Only those without appropriate knowledge of HIV/STI f

Conditional incentive 0.0784 0.0521 0.0323 −0.0040
[0.019]** [0.019]** [0.006]** [0.004]
Conditional incentive squared −0.0062 −0.0068 −0.0009 −0.0001
[0.002]** [0.001]** [0.000]** [0.000]
Observations 712 709 717 712
Pseudo R-squared 0.0461 0.149 0.0647 0.153
Observed probability (WTA) 0.711 0.769 0.787 0.820
Elasticities 0.41 1.36

Notes: Table presents probit regression marginal effects. Robust standard errors in brackets:

**

p<0.01,

*

p<0.05,

+

p<0.1

a

The analytical subsamples consist of men who have sex with men (MSM), including male sex workers (MSW). MSM defined as a man who has had sex with another man with anal penetration within the last year. The conditional incentive offers were random offers for α1 and α3. The incentive offers for α2, and α 4 were follow-up questions: a bargaining experimental game to increase participation and/or reduce program costs by increasing the incentive offer (for those who initially said “no”) or to lower the incentive offer (for those who initially said “yes”). Conditional incentive offer amounts are expressed in US dollars (USD) of 2008. Data collection activities took place during October 1-December 15, 2008 in Mexico City; the average exchange rate was 12.97 pesos per USD [29]

b

Sample population at the highest risk was defined as male sex workers or those with 5 or more sexual partners per month.

c

Participants who declared to currently having been infected with HIV or with other sexually transmitted infection (STI).

d

Low-wealth sample were participants with a wealth index below the 25 percentile of the distribution; the wealth index was constructed using data on availability of: vehicle, own house, more than five rooms in the house, laptop and desktop computers, cable television, Internet access, and household help.

e

Appropriate condom use during the last sex act was defined as when respondent used a condom when he had a penetrative role only, or when partner used it when respondent had a receptive role only, or when both used it regardless of sexual roles.

f

Correct knowledge (yes/no) was based on a battery of questions about HIV and sexually transmitted infections (STIs).