Description Usage Arguments Details Value Author(s) References See Also Examples
Computes cluster robust standard errors for a two-stage least squares instrumental variable analysis.
1 | cluster.robust.se(ivmodel, clusterid)
|
ivmodel |
A model object fit using the ivreg command from the AER package. |
clusterid |
A vector that contains an identifier for the cluster of each subject. |
The standard errors are computed using the method of White (1982) that assumes observations within a cluster may be dependent but the clusters are independent.
Coeffient estimates, cluster robust standard errors and p-values using cluster robust standard errors.
Dylan Small
White, H. (1982), Instrumental Variables Regression with Independent Observations, Econometrica, 50, 483-499.
1 2 3 4 5 6 7 8 | # For Card's data, fit an IV model of log wage on the treatment variable (education)
# using the IV nearc4, with measured covariates (included exogenous variables)
# exper, expersq, black, south, smsa, smsa66
data(card.data)
ivmodel=ivreg(lwage ~ educ + exper + expersq + black + south + smsa + smsa66,
~ nearc4 + exper + expersq + black + south + smsa + smsa66, x=TRUE, data=card.data)
# Compute cluster robust standard errors when the clustering is by region
cluster.robust.se(ivmodel, card.data$region)
|
Loading required package: AER
Loading required package: car
Loading required package: carData
Loading required package: lmtest
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: sandwich
Loading required package: survival
[1] "Cluster Robust Standard Errors"
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3.97684608 0.83943970 4.7375 2.264e-06 ***
educ 0.11877444 0.05022730 2.3647 0.018106 *
exper 0.10194549 0.01850452 5.5092 3.909e-08 ***
expersq -0.00227778 0.00041633 -5.4711 4.840e-08 ***
black -0.14290368 0.04585875 -3.1162 0.001849 **
south -0.10836674 0.04309316 -2.5147 0.011965 *
smsa 0.12666726 0.02848766 4.4464 9.049e-06 ***
smsa66 0.01739923 0.02062639 0.8435 0.398993
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Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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