Deterministic simulations in a model with stock variables
Posted: Fri Sep 14, 2007 2:16 pm
I have a simple RE model with two stock variables, net foreign assets and capital stock, and I look at several deterministic shocks, such as a permanent reduction in an inflation target (i.e. permanent disinflation).
When I solve the model, I need to guess the values of model variables at the end of simulation that enter the "endval" bloc. Some, like inflation, are easy, some, like the two stock variables and the real exchange rate are less obvious.
I went for iteration - first, guessing a set of values for "endval", then running the deterministic simulation and replacing the original "endval" by values from a period T-40 for sufficiently high T, say, 600. One iteration was enough to obtain paths of model variables converging to a consistent set of "endval" values.
My question is: Is this a correct/conceivable procedure to use in the case of model with stock variables where the end-point steady state values are not immediately obvious?
When I solve the model, I need to guess the values of model variables at the end of simulation that enter the "endval" bloc. Some, like inflation, are easy, some, like the two stock variables and the real exchange rate are less obvious.
I went for iteration - first, guessing a set of values for "endval", then running the deterministic simulation and replacing the original "endval" by values from a period T-40 for sufficiently high T, say, 600. One iteration was enough to obtain paths of model variables converging to a consistent set of "endval" values.
My question is: Is this a correct/conceivable procedure to use in the case of model with stock variables where the end-point steady state values are not immediately obvious?