dataLatentIV: Simulated Dataset with One Endogenous Continuous Regressor
In REndo: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
dataLatentIV R Documentation
Simulated Dataset with One Endogenous Continuous Regressor
Description
A dataset with one endogenous regressor P, an instrument Z
used to build P, an intercept and a dependent variable, y.
The true parameter values for the coefficients are: b0 = 3 for the intercept
and a1 = -1 for P.
Usage
data("dataLatentIV")
Format
A data frame with 2500 observations on 3 variables:
ya numeric vector representing the dependent variable.
Pa numeric vector representing the endogenous variable.
Za numeric vector used in the construction of the endogenous variable, P.
Author(s)
Raluca Gui raluca.gui@business.uzh.ch
REndo documentation built on Sept. 8, 2023, 5:53 p.m.
R Package Documentation
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| dataLatentIV | R Documentation |
Simulated Dataset with One Endogenous Continuous Regressor
Description
A dataset with one endogenous regressor P, an instrument Z
used to build P, an intercept and a dependent variable, y.
The true parameter values for the coefficients are: b0 = 3 for the intercept
and a1 = -1 for P.
Usage
data("dataLatentIV")
Format
A data frame with 2500 observations on 3 variables:
ya numeric vector representing the dependent variable.
Pa numeric vector representing the endogenous variable.
Za numeric vector used in the construction of the endogenous variable, P.
Author(s)
Raluca Gui raluca.gui@business.uzh.ch
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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