The Role of Economic Policy Uncertainty in Forecasting US Inflation Using a VARFIMA Model
We compare inflation forecasts of a vector fractionally integrated autoregressive moving average (VARFIMA) model against standard forecasting models. U.S. inflation forecasts improve when controlling for persistence and economic policy uncertainty (EPU). Importantly, the VARFIMA model, comprising of inflation and EPU, outperforms commonly used inflation forecast models.
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- Jones, Paul M. & Olson, Eric, 2013. "The time-varying correlation between uncertainty, output, and inflation: Evidence from a DCC-GARCH model," Economics Letters, Elsevier, vol. 118(1), pages 33-37.
- Lovcha, Yuliya & Pérez Laborda, Àlex, 2013. "A fractionally integrated approach to monetary policy and inflation dynamics," Working Papers 2072/211795, Universitat Rovira i Virgili, Department of Economics.
- Colombo, Valentina, 2013.
"Economic policy uncertainty in the US: Does it matter for the Euro area?,"
Elsevier, vol. 121(1), pages 39-42.
- Valentina Colombo, 2013. "Economic policy uncertainty in the US: Does it matter for the Euro Area?," "Marco Fanno" Working Papers 0160, Dipartimento di Scienze Economiche "Marco Fanno".
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