IRIS Toolbox Reference Manual

## uncmean

Unconditional-mean dummy (or Sims' initial dummy) observations for BVARs

#### Syntax

    O = BVAR.uncmean(YBar,Mu)

#### Input arguments

- `YBar` [ numeric ] - Vector of unconditional means imposed as priors.

- `Mu` [ numeric ] - Weight on the dummy observations.

#### Output arguments

- `X` [ numeric ] - Array with prior dummy observations that can be used in the `'BVAR='` option of the `VAR/estimate` function.

- `O` [ bvarobj ] - BVAR object that can be passed into the `VAR/estimate` function.

#### Description

See the section explaining the weights on prior dummies, i.e. the input argument `Mu`.

#### Example

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