distorttest: Jiao-Pretis-Schwarz Outlier Distortion Test

In gets: General-to-Specific (GETS) Modelling and Indicator Saturation Methods

Jiao-Pretis-Schwarz Outlier Distortion Test

Description

Implements the Jiao-Pretis-Schwarz test for coefficient distortion due to outliers by comparing coefficient estimates obtained using OLS to estimates obtained using the robust IIS estimator implemented using isat. See the referenced Jiao-Pretis-Schwarz Paper below for more information.

Usage

  distorttest(x, coef = "all")

Arguments

x	object of class isat
coef	Either "all" (Default) to test the distortion on all coefficients or a character vector of explanatory variable names.

Value

Object of class isat

Author(s)

Xiyu Jiao https://sites.google.com/view/xiyujiao

Felix Pretis https://felixpretis.climateeconometrics.org/

Moritz Schwarz https://moritzschwarz.org

References

Xiyu Jiao, Felix Pretis,and Moritz Schwarz. Testing for Coefficient Distortion due to Outliers with an Application to the Economic Impacts of Climate Change. Available at SSRN: https://www.ssrn.com/abstract=3915040 or \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2139/ssrn.3915040")}

See Also

isat, distorttestboot

Examples

## Not run:   
data(Nile)
nile <- isat(Nile, sis=FALSE, iis=TRUE, plot=TRUE, t.pval=0.01)
distorttest(nile)

data("hpdata")
# Another example with co-variates
dat <- hpdata[,c("GD", "GNPQ", "FSDJ")]
Y <- ts(dat$GD,start = 1959, frequency = 4)
mxreg <- ts(dat[,c("GNPQ","FSDJ")],start = 1959, frequency = 4)
m1 <- isat(y = Y, mc = TRUE, sis = FALSE, iis = TRUE)
m2 <- isat(y = Y, mc = TRUE, sis = FALSE, iis = TRUE, ar = 1)
m3 <- isat(y = Y, mxreg = mxreg, mc = TRUE, sis = FALSE, iis = TRUE)
m4 <- isat(y = Y, mxreg = mxreg, mc = TRUE, sis = FALSE, iis = TRUE, ar = 1, t.pval = 0.01)
distorttest(m1, coef = "all")
distorttest(m2, coef = "all")
distorttest(m3, coef = "GNPQ")
distorttest(m4, coef = c("ar1", "FSDJ"))
 
## End(Not run) 

gets documentation built on Sept. 11, 2024, 9:03 p.m.