databank.forModel (+databank)

Create model specific databank

Syntax

db = databank.forModel(model, range, ___)

Input arguments

model [ Model ]

Model object for which the databank will be created;

range [ Dater ]

Date range on which the time series in the output db will be created.

Output arguments

db [ struct | Dictionary ]

The output db will contain a time series for each variable and shock, and a numerical values for each parameter. Each time series will be automatically prepeneded a sufficient number of periods before the start of the input range to cover the model's initial conditions, and appended a sufficient number of periods after the end of the input range to cover the model's terminal condition.

Options

__Deviation=false [ true | false ]

Deviation=false means the time series in the output db contain the steady-state lines; Deviation=true means the time series in the output db are filled with ones (for log-variables) or zeros (for other variables and shocks).

ShockFunc=@zeros [ function ]

Function used to generate shocks; each shock is then corrected for its std deviation currently assigned in the model object.

NumColumns=1 [ numeric ]

Number of columns created for each time series in the output db; only works when the input model object has only one single parameter variant.

NumDraws=1 [ numeric ]

Number of columns created for each time series in the output db with the time series for shocks randomly drawn than many times; only works when the input model object has only one single parameter variant; cannot be combined with NumColumns>1.

Description

Examples

d = databank.forModel(m, qq(2025,1):qq(2030,4));