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Comparing the New Keynesian Phillips Curve with time series models to forecast inflation
Rumler, Fabio; Valderrama, María Teresa - 2008
Persistent link: https://www.econbiz.de/10003776275
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Bayesian model selection and forecasting in noncausal autoregressive models
Lanne, Markku; Luoma, Arto; Luoto, Jani - 2009
Persistent link: https://www.econbiz.de/10003884523
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Macro modelling with many models
Wolden Bache, Ida (contributor) - 2010
Persistent link: https://www.econbiz.de/10003920132
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Comparing the New Keynesian Phillips Curve with time series models to forecast inflation
Rumler, Fabio; Valderrama, María Teresa - In: The North American journal of economics and finance : a … 21 (2010) 2, pp. 126-144
Persistent link: https://www.econbiz.de/10009267847
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Dynamic model averaging and CPI inflation forecasts : a comparison between the euro area and the United States
Di Filippo, Gabriele - In: Journal of forecasting 34 (2015) 8, pp. 619-648
Persistent link: https://www.econbiz.de/10011397637
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Short-term inflation projections : a Bayesian vector autoregressive approach
Giannone, Domenico; Lenza, Michele; Momferatou, Daphne; … - In: International journal of forecasting 30 (2014) 3, pp. 635-644
Persistent link: https://www.econbiz.de/10010514782
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Do we need a global VAR model to forecast inflation and output in South Africa?
Waal, Annari de; Van Eyden, Reneé; Gupta, Rangan - In: Applied economics 47 (2015) 25/27, pp. 2649-2670
Persistent link: https://www.econbiz.de/10010519635
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Analyzing and forecasting output gap and inflation using Bayesian vector auto regression (BVAR) method : a case of Pakistan
Tahir, Mian Abdullah - In: International journal of economics and finance 6 (2014) 6, pp. 257-266
Persistent link: https://www.econbiz.de/10010371299
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Output gaps, inflation and financial cycles in the United Kingdom
Melolinna, Marko; Tóth, Máté - 2016
Persistent link: https://www.econbiz.de/10011443353
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Gold price forecasts in a dynamic model averaging framework : have the determinants changed over time?
Baur, Dirk G.; Beckmann, Joscha; Czudaj, Robert - 2014
The price of gold is influenced by a wide range of local and global factors such as commodity prices, interest rates, inflation expectations, exchange rate changes and stock market volatility among others. Hence, forecasting the price of gold is a notoriously difficult task and the main problem...
Persistent link: https://www.econbiz.de/10010417235