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Excluded variables are placed outside the outer frame.
8 Actually, to achieve convergence we had to impose several exclusion restrictions from both processes, which leads to serious model misspecification, as most of the excluded variables arguably belong to both processes.
The possibility of estimating several channels simultaneously permits us not only to avoid some biases due to omitted variables, but also to quantify these biases by running regressions with some excluded variables on the same data.
We excluded variables with a prevalence below 3-53-5% higher than 95-97% from the analysis so as to restrict computations to evenly distributed assets and to avoid assets owned and peculiar to only certain segments of the population.
If, however, we include enough variables in our model so that the excluded variables are probabilistically independent, then our model will satisfy the MC, and we will have a powerful set of analytic tools for studying the system.
Excluded variables.
Excluded variables are listed in the text.
1: excluded variables because of a p-value > 0.10.
All excluded variables were retested in the final model.
Also, none of the previously excluded variables was significant.
Therefore we ran several analyses and excluded variables with no meaningful contribution.
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