A Nonlinear Forecasting Model of GDP Growth

David DeJong (), Roman Liesenfeld and Jean-Francois Richard
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Roman Liesenfeld: Universität Kiel

The Review of Economics and Statistics, 2005, vol. 87, issue 4, 697-708

Abstract: We develop a model of GDP growth under which regime changes are triggered stochastically by an observable tension index, constructed as the geometric sum of deviations of actual GDP growth from a corresponding sustainable rate. Within expansionary regimes, the tension index tends to increase, which heightens the probability of a regime change. Given a regime change, the process becomes reversed, and the tension index begins to decline along a newly established path. Linking the behavior of the tension index to GDP growth enables us to capture floor and ceiling effects. © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Date: 2005
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