criterion: Computing the GMM criterion.
In tkhdyanagi/LATEerror: Inference on the local average treatment effect for a mismeasured binary treatment
Description
criterion is an auxiliary function to implement the GMM inference on your own.
It returns a value of the GMM criterion.
Usage
1
Arguments
par
vector of parameter values
data
dataframe that contains Y, D, Z, and V with indicators
weight
weighting matrix for GMM estimation
equal
logical whether the misclassification probabilities do not depend on instrument
tkhdyanagi/LATEerror documentation built on May 3, 2019, 9:39 p.m.
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Description
criterion is an auxiliary function to implement the GMM inference on your own.
It returns a value of the GMM criterion.
Usage
1 |
Arguments
par |
vector of parameter values |
data |
dataframe that contains Y, D, Z, and V with indicators |
weight |
weighting matrix for GMM estimation |
equal |
logical whether the misclassification probabilities do not depend on instrument |
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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