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1
In-sample inference and forecasting in misspecified factor models
Carrasco, Marine
;
Rossi, Barbara
-
2016
Persistent link: https://www.econbiz.de/10011524318
Saved in:
2
Dynamic factor model with infinite dimensional factor space : forecasting
Forni, Mario
;
Giovannelli, Alessandro
;
Lippi, Marco
; …
-
2016
Persistent link: https://www.econbiz.de/10011482273
Saved in:
3
Forecasting using heterogeneous panels with cross-sectional dependence
Akgun, Oguzhan
;
Pirotte, Alain
;
Urga, Giovanni
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1211-1227
Persistent link: https://www.econbiz.de/10012546082
Saved in:
4
International propagation of shocks : a dynamic factor model using survey forecasts
Lahiri, Kajal
;
Zhao, Yongchen
- In:
International journal of forecasting
35
(
2019
)
3
,
pp. 929-947
Persistent link: https://www.econbiz.de/10012305192
Saved in:
5
In-sample inference and forecasting in misspecified factor models
Carrasco, Marine
;
Rossi, Barbara
- In:
Journal of business & economic statistics : JBES ; a …
34
(
2016
)
3
,
pp. 313-338
Persistent link: https://www.econbiz.de/10011691438
Saved in:
6
Herding and anchoring in macroeconomic forecasts : the case of the PMI
Broughton, John B.
;
Lobo, Bento J.
- In:
Empirical economics : a journal of the Institute for …
55
(
2018
)
3
,
pp. 1337-1355
Persistent link: https://www.econbiz.de/10011950148
Saved in:
7
Forecasting inflation across euro area countries and sectors : a
panel
VAR approach
Dées, Stéphane
;
Güntner, Jochen
- In:
Journal of forecasting
36
(
2017
)
4
,
pp. 431-453
Persistent link: https://www.econbiz.de/10011860465
Saved in:
8
Adjusting for information content when comparing forecast performance
Andersson, Michael K.
;
Aranki, Ted
;
Reslow, André
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 784-794
Persistent link: https://www.econbiz.de/10011860726
Saved in:
9
Applying a microfounded-forecasting approach to predict Brazilian inflation
Gaglianone, Wagner Piazza
;
Issler, João Victor
; …
- In:
Empirical economics : a journal of the Institute for …
53
(
2017
)
1
,
pp. 137-163
Persistent link: https://www.econbiz.de/10011935918
Saved in:
10
Artificial neural network regression models in a
panel
setting : predicting economic growth
Jahn, Malte
- In:
Economic modelling
91
(
2020
),
pp. 148-154
Persistent link: https://www.econbiz.de/10012429029
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