regime_distance

<code>regime_distance</code> calculates "distance" between two scaled regimes.

internal

Maximum likelihood estimation of smooth transition vector
autoregressive models with various types of transition weight functions,
conditional distributions, and identification methods. Constrained
estimation with various types of constraints is available. Residual based
model diagnostics, forecasting, simulations, and calculation of impulse
response functions, generalized impulse response functions, and generalized
forecast error variance decompositions. See
Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>,
Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>,
Markku Lanne, Savi Virolainen (2024) <doi:10.48550/arXiv.2403.14216>,
Savi Virolainen (2024) <doi:10.48550/arXiv.2404.19707>.

Savi Virolainen

sstvars

Toolkit for Reduced Form and Structural Smooth Transition Vector
Autoregressive Models

regime_distance function

<dl><dt>regime_pars1</dt>
<dd>a length \(pd^2+d+d(d+1)/2\) vector
\(\upsilon_{m}\)\( = (\phi_{m,0},\)\(\phi_{m}\)\(,\sigma_{m})\).</dd>
<dt>regime_pars2</dt>
<dd>a length \(pd^2+d+d(d+1)/2\) vector
\(\upsilon_{m}\)\( = (\phi_{m,0},\)\(\phi_{m}\)\(,\sigma_{m})\).</dd></dl>

Arguments

Warning

Calculate "distance" between two (scaled) regimes
 \(\upsilon_{m}\)\( = (\phi_{m,0},\)\(\phi_{m}\)\(,\sigma_{m})\) — regime_distance

<dl>

<dt>regime_pars1</dt>
<dd>a length \(pd^2+d+d(d+1)/2\) vector
\(\upsilon_{m}\)\( = (\phi_{m,0},\)\(\phi_{m}\)\(,\sigma_{m})\).</dd>


<dt>regime_pars2</dt>
<dd>a length \(pd^2+d+d(d+1)/2\) vector
\(\upsilon_{m}\)\( = (\phi_{m,0},\)\(\phi_{m}\)\(,\sigma_{m})\).</dd>

</dl>

regime_distance: Calculate "distance" between two (scaled) regimes \(\upsilon_{m}\)\( = (\phi_{m,0},\)\(\phi_{m}\)\(,\sigma_{m})\)

Description

Usage

Value

Arguments

Warning

References