### Questions about Bayes factor and GSA

Posted:

**Sat Apr 08, 2017 12:18 pm**Dear all,

I would like to raise a couple of questions about GSA and the Bayes factor. I use dynare 4.4.3

1) When I run dynare_sesnsitivity I get the results of the Smirnov-Kolmogorov test. I would like to know where are stored the result of this statistics. Moreover, is it possible to print also the statistics value for the parameters that do not significately affect the model's behavior? I used the command "ksstat=0.001" as option into dynare_sensitivity, but it does print only the parameter with smirnov stat>0.1. I tried also ksstat=0.5, but it also print parameters with smirnov stat >0.1 but lower than 0.5.

2) Second question is about the log data density computed by dynare (after the estimation): I want to compare 2 models via Bayes factor. Let assume model1 has log data density=1300, whereas model2 has log data density=1307

according to the jeffreys scale of evidence https://en.wikipedia.org/wiki/Bayes_factor#Interpretation may I conclude that there is "substantial evidence" favoring model1 (as the difference is 7)?

Moreover, let assume there is further model, let's say model3 with log data density=1322. As the difference is 22, does this difference involve "strong evidence" in favor of model3?

thanks in advance for the help.

I would like to raise a couple of questions about GSA and the Bayes factor. I use dynare 4.4.3

1) When I run dynare_sesnsitivity I get the results of the Smirnov-Kolmogorov test. I would like to know where are stored the result of this statistics. Moreover, is it possible to print also the statistics value for the parameters that do not significately affect the model's behavior? I used the command "ksstat=0.001" as option into dynare_sensitivity, but it does print only the parameter with smirnov stat>0.1. I tried also ksstat=0.5, but it also print parameters with smirnov stat >0.1 but lower than 0.5.

2) Second question is about the log data density computed by dynare (after the estimation): I want to compare 2 models via Bayes factor. Let assume model1 has log data density=1300, whereas model2 has log data density=1307

according to the jeffreys scale of evidence https://en.wikipedia.org/wiki/Bayes_factor#Interpretation may I conclude that there is "substantial evidence" favoring model1 (as the difference is 7)?

Moreover, let assume there is further model, let's say model3 with log data density=1322. As the difference is 22, does this difference involve "strong evidence" in favor of model3?

thanks in advance for the help.