This function generates a vector of break numbers using the output of
testpanelSubjectBreak
. The function performs a pairwise comparison
of models using Bayes Factors.
make.breaklist(BF, threshold = 3)
Vector fo break numbers.
output of testpanelSubjectBreak
.
The Bayes Factor threshold to pick the best model. If a
Bayes factor of two models is smaller than threshold
, the model with
a smaller number of break is chosen to avoid the over-identification
problem. Users can change threshold into any positive number. The default
value of 3 is chosen as it indicates the existence of "substantial evidence"
in favor of the model in the numerator according to Jeffreys' scale.
Jong Hee Park, 2012. ``Unified Method for Dynamic and Cross-Sectional Heterogeneity: Introducing Hidden Markov Panel Models.'' American Journal of Political Science.56: 1040-1054. <doi: 10.1111/j.1540-5907.2012.00590.x>
Harold Jeffreys, 1961. The Theory of Probability. Oxford University Press.
testpanelSubjectBreak