Tidy a(n) ivreg object
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'ivreg' tidy(x, conf.int = FALSE, conf.level = 0.95, instruments = FALSE, ...)
x |
An |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
instruments |
Logical indicating whether to return
coefficients from the second-stage or diagnostics tests for
each endogenous regressor (F-statistics). Defaults to |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
This tidier currently only supports ivreg
-classed objects
outputted by the AER
package. The ivreg
package also outputs
objects of class ivreg
, and will be supported in a later release.
A tibble::tibble()
with columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
p.value.Sargan |
p-value for Sargan test of overidentifying restrictions. |
p.value.weakinst |
p-value for weak instruments test. |
p.value.Wu.Hausman |
p-value for Wu-Hausman weak instruments test for endogeneity. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
statistic.Sargan |
Statistic for Sargan test of overidentifying restrictions. |
statistic.weakinst |
Statistic for Wu-Hausman test. |
statistic.Wu.Hausman |
Statistic for Wu-Hausman weak instruments test for endogeneity. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
Other ivreg tidiers:
augment.ivreg()
,
glance.ivreg()
if (requireNamespace("AER", quietly = TRUE)) { library(AER) data("CigarettesSW", package = "AER") ivr <- ivreg( log(packs) ~ income | population, data = CigarettesSW, subset = year == "1995" ) summary(ivr) tidy(ivr) tidy(ivr, conf.int = TRUE) tidy(ivr, conf.int = TRUE, instruments = TRUE) augment(ivr) augment(ivr, data = CigarettesSW) augment(ivr, newdata = CigarettesSW) glance(ivr) }
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