NonlinearTSA (version 0.5.0)

ESTAR_ECM: 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

Value

"Model" Estimated model

"AIC" Akaike information criteria

"BIC" Schwarz information criteria

Details

Exponential smooth transition error correction model as follows:

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 Uygulamal<U+0131> Dogrusal Olmayan Zaman Serileri Analizi, DER Yayinevi, 2020.

Examples

# NOT RUN {
x <- cumsum(rnorm(1000))
y <- cumsum(rnorm(1000))
ESTAR_ECM(x, y, lags = 6)

data(MarketPrices)
ESTAR_ECM(MarketPrices[,1],MarketPrices[,2],lags = 2)

# }