Can Budgetary Policy Planning Be Improved by Optimal Control Methods? A Case Study for Austria
Reinhard Neck
University of Osnabrueck
Neck@rols1.oec.Uni-Osnabrueck.de
Using the stochastic control algorithm OPTCON, we determine
approximately optimal budgetary policies for Austria for the period
1995 to 2000 within the framework of a problem of quantitative
economic policy. An intertemporal objective function is minimized
subject to the constraints of the macroeconometric model FINPOL3,
estimated for Austria using 3SLS. Exogenous variables of the model
are forecast by time series methods. The results show that optimal
budgetary policies can improve upon the performance of the Austrian
economy with respect to some policy objectives as compared to a
simulation using extrapolations of policy variables. Optimal
budgetary policies for Austria are shown to depend strongly on
global developments as reflected in Austrian exports and import
prices.
Society of Computational Economics
Second International Conference on
Computing in Economics and Finance
Geneva, Switzerland, 26-28 June 1996