leebounds_wout_monotonicity: Compute Semenova (2019) bounds with conditional MTR...
In vsemenova/leebounds: Nonparametric bounds on Average Treatment Effect in the presence of Endogenous Selection
leebounds_wout_monotonicity R Documentation
Compute Semenova (2019) bounds with conditional MTR assumption
Description
This function computes Semenova (2019) bounds upper and lower bound on the Average Treatment Effect under conditional MTR assumption. Its input argument
is a dataframe consisting of d=treat (binary treatment), s = selection (e.g., employment, test participation), and
outcome = sy observed only if s=1 (e.g., wage, test score). Lee (2009) bounds make two assumptions: (1) Treatment is randomly assigned and (2)
There exists a partition of covariates X into X=X_0 + X_1 such that treatment helps selection if and only if x is in X_0 and
treatment hurts selection otherwise.
Usage
leebounds_wout_monotonicity(leedata, s.hat)
Arguments
leedata, s.hat
data frame with treat, selection, outcome; s.hat: predicted selection outcome
Value
Lee (2009) lower and upper bound
vsemenova/leebounds documentation built on Sept. 30, 2023, 8:30 a.m.
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| leebounds_wout_monotonicity | R Documentation |
Compute Semenova (2019) bounds with conditional MTR assumption
Description
This function computes Semenova (2019) bounds upper and lower bound on the Average Treatment Effect under conditional MTR assumption. Its input argument is a dataframe consisting of d=treat (binary treatment), s = selection (e.g., employment, test participation), and outcome = sy observed only if s=1 (e.g., wage, test score). Lee (2009) bounds make two assumptions: (1) Treatment is randomly assigned and (2) There exists a partition of covariates X into X=X_0 + X_1 such that treatment helps selection if and only if x is in X_0 and treatment hurts selection otherwise.
Usage
leebounds_wout_monotonicity(leedata, s.hat)
Arguments
leedata, s.hat |
data frame with treat, selection, outcome; s.hat: predicted selection outcome |
Value
Lee (2009) lower and upper bound
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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