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Descriptive econometrics for nonstationary time series with empirical illustrations
Phillips, Peter C. B. - 1999
Persistent link: https://www.econbiz.de/10001389305
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Descriptive econometrics for non-stationary time series with empirical illustrations
Phillips, Peter C. B. - In: Journal of applied econometrics 16 (2001) 3, pp. 389-413
Persistent link: https://www.econbiz.de/10001592353
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Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo; Chan, Joshua; Cross, Jamie L. - 2018
Persistent link: https://www.econbiz.de/10012202537
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Stochastic Volatility Models with ARMA Innovations : An Application to G7 Inflation Forecasts
Zhang, Bo - 2018
algorithms. We assess the usefulness of these new models in an inflation forecasting exercise across all G7 economies. We find …
Persistent link: https://www.econbiz.de/10012915821
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Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo; Chan, Joshua; Cross, Jamie - In: International journal of forecasting 36 (2020) 4, pp. 1318-1328
Persistent link: https://www.econbiz.de/10012546706
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Testing the null hypothesis of stationarity against the alternative of a unit root : how sure are we that economic time series have a unit root?
Kwiatkowski, Denis E.; Phillips, Peter C. B.; Schmidt, Peter - 1991
Persistent link: https://www.econbiz.de/10000828125
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Specification tests for time-varying parameter models with stochastic volatility
Chan, Joshua - In: Econometric reviews 37 (2018) 6/10, pp. 807-823
Persistent link: https://www.econbiz.de/10012040412
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A multivariate stochastic unit root model with an application to derivative pricing
Lieberman, Offer; Phillips, Peter C. B. - In: Journal of econometrics 196 (2017) 1, pp. 99-110
Persistent link: https://www.econbiz.de/10011743783
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Large Bayesian VARs : a flexible Kronecker error covariance structure
Chan, Joshua - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 1, pp. 68-79
Persistent link: https://www.econbiz.de/10012179513
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Composite likelihood methods for large Bayesian VARs with stochastic volatility
Chan, Joshua; Eisenstat, Eric; Hou, Chenghan; Koop, Gary - 2018
Persistent link: https://www.econbiz.de/10012202274