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Forecasting unemployment using an autoregression with censored latent effects parameters
Franses, Philip Hans; Paap, Richard; Vroomen, Björn - In: International journal of forecasting 20 (2004) 2, pp. 255-271
Persistent link: https://www.econbiz.de/10002033472
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What do professional forecasters actually predict?
Nibbering, Didier; Paap, Richard; Wel, Michel van der - In: International journal of forecasting 34 (2018) 2, pp. 288-311
Persistent link: https://www.econbiz.de/10012030904
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Modeling the impact of forecast-based regime switches on US inflation
Bel, Koen; Paap, Richard - In: International journal of forecasting 32 (2016) 4, pp. 1306-1316
Persistent link: https://www.econbiz.de/10011622155
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Periodically integrated subset autoregressions for Dutch industrial production and money stock
Franses, Philip Hans - In: Journal of forecasting 12 (1993) 7, pp. 601-613
Persistent link: https://www.econbiz.de/10001152504
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Multi-step forecast error variances for periodically integrated time series
Franses, Philip Hans - In: Journal of forecasting 15 (1996) 2, pp. 83-95
Persistent link: https://www.econbiz.de/10001195087
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A model selection strategy for time series with increasing seasonal variation
Franses, Philip Hans; Koehler, Anne B. - In: International journal of forecasting 14 (1998) 3, pp. 405-414
Persistent link: https://www.econbiz.de/10001367727
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Periodic integration in quarterly UK macroeconomic variables
Franses, Philip Hans - In: International journal of forecasting 9 (1993) 4, pp. 407-476
Persistent link: https://www.econbiz.de/10001159379
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A periodic long-memory model for quarterly UK inflation
Franses, Philip Hans - In: International journal of forecasting 13 (1997) 1, pp. 117-126
Persistent link: https://www.econbiz.de/10001224762
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A Bayesian analysis of periodic integration
Franses, Philip Hans - In: Journal of forecasting 16 (1997) 7, pp. 509-532
Persistent link: https://www.econbiz.de/10001233075
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Unit roots in the Nelson-Plosser data : do they matter for forecasting?
Franses, Philip Hans - In: International journal of forecasting 12 (1996) 2, pp. 283-288
Persistent link: https://www.econbiz.de/10001204614