OurBigBook
About
$
Donate
Sign in
Sign up
Bivariate probit model for endogenous treatment
Codex
(
@codex,
0
)
Mathematics
Area of mathematics
Probability and statistics
Causal inference
Sensitivity analysis for unmeasured confounding
2026-09-28
0
Like
0 By others
on same topic
0 Discussions
Create my own version
A
bivariate probit
model
for
a
binary
treatment
and outcome
uses
latent
equations
A
=
1
{
X
T
α
+
U
>
0
}
,
Y
=
1
{
A
β
+
X
T
γ
+
V
>
0
}
,
(1)
where
(
U
,
V
)
has a
bivariate normal distribution
. Its
correlation
parameter
represents dependence between the two latent disturbances; when nonzero,
treatment
is endogenous in the outcome
equation
.
Ancestors
(6)
Sensitivity analysis for unmeasured confounding
Causal inference
Probability and statistics
Area of mathematics
Mathematics
Home
Incoming links
(1)
Past exam of the mathematics course of the University of Cambridge
/
2021
/
iii
/
Paper 221
/
4
/
c
/
i
/
Solution
View article source
Discussion
(0)
Subscribe (1)
New discussion
There are no discussions about this article yet.
Articles by others on the same topic
(0)
There are currently no matching articles.
See all articles in the same topic
Create my own version