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The Contribution of Structural Break Models to Forecasting Macroeconomic Seri...
This paper compares the forecasting performance of models that have been proposed for forecasting in the presence of structural breaks. They differ in their treatment of the... -
Learning, forecasting and structural breaks (replication data)
We provide a general methodology for forecasting in the presence of structural breaks induced by unpredictable changes to model parameters. Bayesian methods of learning and... -
Validating multiple structural change models-a case study (replication data)
In a recent article, Bai and Perron (2003, Journal of Applied Econometrics) present a comprehensive discussion of computational aspects of multiple structural change models... -
Monitoring structural change in dynamic econometric models (replication data)
The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of... -
Modelling UK inflation, 1875-1991 (replication data)
UK inflation has varied greatly in response to many economic policy and exchange-rate regime shifts, two world wars and two oil crises, as well as legislative and technological... -
US deficit sustainability: a new approach based on multiple endogenous breaks...
Recent empirical work has questioned the consistency of US fiscal policy with an intertemporal budget constraint. Empirical results have tended to indicate that the deficit...