Modeling the impact of forecast-based regime switches on macroeconomic time series
Koen Bel and
Richard Paap
No EI 2013-25, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute
Abstract:
Forecasts of key macroeconomic variables may lead to policy changes of governments, central banks and other economic agents. Policy changes in turn lead to structural changes in macroeconomic time series models. To describe this phenomenon we introduce a logistic smooth transition autoregressive model where the regime switches depend on the forecast of the time series of interest. This forecast can either be an exogenous expert forecast or an endogenous forecast generated by the model. Results of an application of the model to US inflation shows that (i) forecasts lead to regime changes and have an impact on the level of inflation; (ii) a relatively large forecast results in actions which in the end lower the inflation rate; (iii) a counterfactual scenario where forecasts during the oil crises in the 1970s are assumed to be correct leads to lower inflation than observed.
Keywords: forecasting; inflation; nonlinear time series; regime switching (search for similar items in EconPapers)
Date: 2013-08-08
New Economics Papers: this item is included in nep-cba, nep-ets, nep-for, nep-mac and nep-mon
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Persistent link: https://EconPapers.repec.org/RePEc:ems:eureir:40884
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