Hi,

First, how it is possible to introduce an exogenous shock (i.e. random variable or exogenous process) with specific distribution assumptions?

For example, Assume that I have a linear function of the following form.

```
R1_t= m1_t + e1_t
R2_t=m2_t*e2_t
```

m=[m1,m2], is a vector of endogenous variable, and e=[e1,e2] the vector exogenous *random* variable. Further assume that, my distributional assumptions are, e1 is normally distributed with (mu1,sigma1^2) and e2 *log-normally* distributed with some mean and variance (mu2, sigma2^2) respectively. For simplicity suppose that these two shocks are independent, and e2 is independent from m2.

Second, will dynare in this case understand that:

```
E(R1_{t+1} = m1_t + mu1
E(R2_{t+1} = m2_t* mu2
```

Thanks