Maps each selected conditioning shock to a particular state conditioning variable. The number of selected conditioning shocks is equal to the number of selected state conditioning variables.
YADA allows for different number of state conditioning variables in each time period over the forecast sample. It is therefore convenient to have a unique mapping between the state conditioning variables and the conditioning shocks, i.e., if a particular state conditioning variable is dropped for a particular period then the shock which is mapped to it is also dropped. The minimum number of state conditioning variables for each time period in the conditioning sample is 0 and the maximum is the number of selected state conditioning variables. A specific state conditioning variable is dropped from the set of state conditioning variables in a specific period when its value is given by a NaN.
Additional Information
• | A more detailed description about conditional predictive distributions with state variable assumptions can also be found in Section 12.4 of the YADA Manual. |
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