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~isPartOf:"International journal of forecasting"
~isPartOf:"Working paper / National Bureau of Economic Research, Inc."
~subject:"Bayes-Statistik"
~subject:"Bruttoinlandsprodukt"
~subject:"Gross domestic product"
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Search: subject_exact:"Varimax rotation"
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Bayes-Statistik
Bruttoinlandsprodukt
Gross domestic product
Factor analysis
77
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77
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54
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54
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International journal of forecasting
Working paper / National Bureau of Economic Research, Inc.
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
6
Journal of econometrics
6
Discussion paper
4
Journal of applied econometrics
4
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4
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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ECONIS (ZBW)
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1
Multi-population mortality projection : the augmented common factor model with structural breaks
Wang, Pengjie
;
Pantelous, Athanasios A.
;
Vahid, Farshid
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 450-469
Persistent link: https://www.econbiz.de/10014462791
Saved in:
2
Nowcasting GDP and its components in a data-rich environment : the merits of the indirect approach
Proietti, Tommaso
;
Giovannelli, Alessandro
;
Ricchi, Ottavio
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1376-1398
Persistent link: https://www.econbiz.de/10013274282
Saved in:
3
Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model : an application to the German business cycle
Carstensen, Kai
;
Heinrich, Markus
;
Reif, Magnus
; …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 829-850
Persistent link: https://www.econbiz.de/10012496873
Saved in:
4
A comprehensive evaluation of macroeconomic forecasting methods
Carriero, Andrea
;
Galvão, Ana Beatriz C.
;
Kapetanios, …
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1226-1239
Persistent link: https://www.econbiz.de/10012305256
Saved in:
5
Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak
;
Swanson, Norman R.
- In:
International journal of forecasting
34
(
2018
)
2
,
pp. 339-354
Persistent link: https://www.econbiz.de/10012030940
Saved in:
6
Aggregate versus disaggregate information in dynamic factor models
Álvarez, Rocío
;
Camacho, Maximo
;
Pérez-Quirós, Gabriel
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 680-694
Persistent link: https://www.econbiz.de/10011621772
Saved in:
7
Nowcasting Turkish GDP and news decomposition
Modugno, Michele
;
Soybilgen, Barış
;
Yazgan, Mustafa Ege
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1369-1384
Persistent link: https://www.econbiz.de/10011622169
Saved in:
8
World asset markets and the global financial cycle
Miranda-Agrippino, Silvia
;
Rey, Hélène
-
2015
Persistent link: https://www.econbiz.de/10011420369
Saved in:
9
Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections
Bańbura, Marta
;
Giannone, Domenico
;
Lenza, Michele
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 739-756
Persistent link: https://www.econbiz.de/10011474544
Saved in:
10
Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models
Zhou, Xiaocong
;
Nakajima, Jouchi
;
West, Mike
- In:
International journal of forecasting
30
(
2014
)
4
,
pp. 963-980
Persistent link: https://www.econbiz.de/10010517774
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