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International journal of forecasting
Working Paper / Norges Bank
254
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CAMP working paper series
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Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts
Milas, Costas
;
Rothman, Philip
- In:
International journal of forecasting
24
(
2008
)
1
,
pp. 101-121
Persistent link: https://www.econbiz.de/10007911038
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2
Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts
Milas, Costas
;
Rothman, Philip
- In:
International journal of forecasting
24
(
2008
)
1
,
pp. 101-121
Persistent link: https://www.econbiz.de/10003661253
Saved in:
3
Forecasting macroeconomic variables using disaggregate survey data
Martinsen, Kjetil
;
Ravazzolo, Francesco
;
Wulfsberg, Fredrik
- In:
International journal of forecasting
30
(
2013
)
1
,
pp. 65-77
Persistent link: https://www.econbiz.de/10010243640
Saved in:
4
Forecasting GDP with global components : this time is different
Bjørnland, Hilde Christiane
;
Ravazzolo, Francesco
; …
- In:
International journal of forecasting
33
(
2017
)
1
,
pp. 153-173
Persistent link: https://www.econbiz.de/10011754694
Saved in:
5
Identification and real-time forecasting of Norwegian business cycles
Aastveit, Knut Are
;
Jore, Anne Sofie
;
Ravazzolo, Francesco
- In:
International journal of forecasting
32
(
2016
)
2
,
pp. 283-292
Persistent link: https://www.econbiz.de/10011596749
Saved in:
6
Forecasting cryptocurrencies under model and parameter instability
Catania, Leopoldo
;
Grassi, Stefano
;
Ravazzolo, Francesco
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 485-501
Persistent link: https://www.econbiz.de/10012300691
Saved in:
7
Comparing the forecasting performances of linear models for electricity prices with high RES penetration
Gianfreda, Angelica
;
Ravazzolo, Francesco
;
Rossini, Luca
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 974-986
Persistent link: https://www.econbiz.de/10012497125
Saved in:
8
Forecasting electricity prices with expert, linear, and nonlinear models
Billé, Anna Gloria
;
Gianfreda, Angelica
;
Del Grosso, …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 570-586
Persistent link: https://www.econbiz.de/10014465069
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