dataLIV: Simulated Dataset
In Rgui/REndo_1.0: Fitting Linear Models with Endogenous Regressors when No External Instruments Are Available
Description
Usage
Format
Details
See Also
Description
A dataset with one endogenous, discrete regressor used for exemplifying the use of the Latent Instrumental Variable function liv.
Usage
1
data("dataLIV")
Format
A data frame with 2500 observations on the following 3 variables.
y a numeric vector representing the dependent variable.
P a numeric vector representing a discrete and endogenous regressor.
Z a numeric vector representing the discrete, latent IV used to build P.
Details
The dataset was modeled according to the following equations:
P = g0 * Z + nu
y = b0 + a1 * P + epsilon
where g0 = 2, b0 = 3 and a1 = -1.
See Also
Rgui/REndo_1.0 documentation built on May 9, 2019, 10:03 a.m.
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.
Description Usage Format Details See Also
Description
A dataset with one endogenous, discrete regressor used for exemplifying the use of the Latent Instrumental Variable function liv.
Usage
1 | data("dataLIV")
|
Format
A data frame with 2500 observations on the following 3 variables.
ya numeric vector representing the dependent variable.
Pa numeric vector representing a discrete and endogenous regressor.
Za numeric vector representing the discrete, latent IV used to build P.
Details
The dataset was modeled according to the following equations:
P = g0 * Z + nu
y = b0 + a1 * P + epsilon
where g0 = 2, b0 = 3 and a1 = -1.
See Also
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.