Identifying endogenous fiscal policy rules for macroeconomic models

The forecast and policy simulations based on macroeconomic models are used in many instances as an important input into policy decision-making. In this paper, we present a model-based method for identifying fiscal closure rules in stochastic macroeconomic models. The methodology is based on the stability analysis of the model at hand, with an endogenous derivation of a reaction on the part of the fiscal authority to state variables in the model. The rule achieves the dual aim of imposing solvency on the fiscal sector and generating a state-contingent dynamic adjustment in a framework consistent with the properties of the model. The approach differs from the standard practice of deriving fiscal closure rules in large macroeconomic forecasting models in both its derivation and implementation. An example of the endogenously derived rule, including some illustrative results, is provided using a small calibrated macro model (C) 2004 Society for Policy Modeling. Published by Elsevier Inc. All rights reserved.