approxDistDL

This function obtains the parameters in eq. 16 of the CDF distribution needed for combining moment-based test statistics.

internal

Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2024) <https://grodriguezrondon.com/files/RodriguezRondon_Dufour_2024_MonteCarlo_LikelihoodRatioTest_MarkovSwitchingModels_20241015.pdf> that can be used to identify the number of regimes in Markov switching models.

Gabriel Rodriguez Rondon

MSTest

Hypothesis Testing for Markov Switching Models

Jean-Marie Dufour

approxDistDL function

<dl><dt>Tsize</dt>
<dd>Sample size.</dd>
<dt>simdist_N</dt>
<dd>Number of simulations to approximate CDF distribution.</dd></dl>

Arguments

Approximate CDF distribution — approxDistDL

<dl>

<dt>Tsize</dt>
<dd>Sample size.</dd>


<dt>simdist_N</dt>
<dd>Number of simulations to approximate CDF distribution.</dd>

</dl>

approxDistDL: Approximate CDF distribution

Description

Usage

Value

Arguments

References