Perfect foresight simulation of fiscal consolidation without fiscal rule

Dear all,

I have a question about running perfect foresight simulations in Dynare when studying a fiscal consolidation that is implemented via an exogenous shock path rather than through a fiscal feedback rule.

In my stochastic model, I include a fiscal rule (e.g., taxes responding to deviations of debt from steady state) to ensure debt stationarity and satisfy the BK conditions.

However, for a deterministic policy experiment, I want to:

  • Start from a higher debt level than steady state,
  • Impose a consolidation path using a sequence of shocks (e.g., higher taxes or lower spending),
  • Simulate the transition under perfect foresight,
  • Without relying on a fiscal feedback rule (i.e., setting the feedback parameter to zero).

My first question is:

In a perfect foresight setup, is it acceptable to shut down the fiscal rule and model consolidation purely through a pre-specified shock path, provided that the imposed policy path ensures debt eventually stabilizes? Or does Dynare still require an active fiscal feedback rule in the model to guarantee transversality and solvability?

Related to this, I also have a question about estimation:

When the fiscal rule is shut down, the stochastic version of the model does not satisfy the BK conditions and estimation fails. Does this mean that:

  • The model should be estimated with the fiscal rule in place (to ensure determinacy),
  • And then deterministic consolidation experiments can be run separately (possibly shutting down the rule)?

Or is the standard practice to keep the fiscal rule active both for estimation and for perfect foresight simulations?

More generally, what is best practice when one wants to estimate a model with a stabilizing fiscal rule, but run deterministic policy experiments that are implemented via exogenous shock paths rather than via that rule?

Thank you very much for any guidance.

The BK conditions are about the endogenous adjustment to shocks. If they are satisfied, the model will return to the steady state regardless of the exogenous shocks (as long as they stay bounded). Of course, you can also exogenous stabilize debt with shocks.
That is not feasible for estimation or stochastic simulations where random shocks from a given distribution occur. Because shocks do not occur in any systematic way, they cannot systematically stabilize debt.
In a perfect foresight context, things are different because there is a given, known, and systematic path for the exogenous variables. They can be used to assure stability. However, setting up a proper path for the shocks to assure a return to a given terminal condition can be tricky.