ESTAR_ECM {NonlinearTSA} | R Documentation |
STAR Vector Error Correction Model
Description
This function allows you to estimate ESTAR Vector Error Correction Model
Usage
ESTAR_ECM(y, x, lags)
Arguments
y |
series name, |
x |
series name |
lags |
lag length |
Details
Exponential smooth transition error correction model as follows:
Value
"Model" Estimated model
"AIC" Akaike information criteria
"BIC" Schwarz information criteria
References
Kapetanios, G., Shin, Y., & Snell, A. (2006). Testing for cointegration in nonlinear smooth transition error correction models. Econometric Theory, 22(2), 279-303.
Burak Guris, R Uygulamalı Dogrusal Olmayan Zaman Serileri Analizi, DER Yayinevi, 2020.
Examples
x <- cumsum(rnorm(1000))
y <- cumsum(rnorm(1000))
ESTAR_ECM(x, y, lags = 6)
data(MarketPrices)
ESTAR_ECM(MarketPrices[,1],MarketPrices[,2],lags = 2)
[Package NonlinearTSA version 0.5.0 Index]