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subject:"Deutschland"
subject:"Forecasting model"
~person:"Sekhposyan, Tatevik"
~person:"Teräsvirta, Timo"
~subject:"Wirtschaftswachstum"
~type_genre:"Aufsatz in Zeitschrift"
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Search: subject_exact:"Estimation theory"
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Deutschland
Forecasting model
Wirtschaftswachstum
Estimation theory
24
Schätztheorie
24
Time series analysis
16
Zeitreihenanalyse
16
Prognoseverfahren
9
ARCH model
8
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8
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8
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8
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6
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6
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5
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4
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3
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3
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3
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3
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3
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Autocorrelation
2
Autokorrelation
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2
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10
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Sekhposyan, Tatevik
Teräsvirta, Timo
Kumar, Dilip
10
Lütkepohl, Helmut
8
Cai, Zongwu
7
Swanson, Norman R.
7
Baltagi, Badi H.
6
Demetrescu, Matei
6
Kapetanios, George
6
Koop, Gary
6
Lahiri, Kajal
6
Shang, Han Lin
6
Taylor, James W.
6
Baillie, Richard
5
Fosten, Jack
5
Lechner, Michael
5
Lee, Ji Hyung
5
McCracken, Michael W.
5
Moosa, Imad A.
5
Rossi, Barbara
5
Tu, Yundong
5
Ullah, Aman
5
Winkelmann, Rainer
5
Wolters, Jürgen
5
Zhang, Xinyu
5
Bauwens, Luc
4
Bratu, Mihaela
4
Chevillon, Guillaume
4
Clements, Adam
4
Clements, Michael P.
4
Corradi, Valentina
4
Doppelhofer, Gernot
4
Gao, Jiti
4
Harvey, David I.
4
Hendry, David F.
4
Hoffman, Dennis L.
4
Kim, Donggyu
4
Koopman, Siem Jan
4
Nolte, Ingmar
4
Pesaran, M. Hashem
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Phillips, Peter C. B.
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International journal of forecasting
5
Journal of econometrics
2
Econometric reviews
1
Journal of applied econometrics
1
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
1
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ECONIS (ZBW)
10
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1
Alternative tests for correct specification of conditional predictive densities
Rossi, Barbara
;
Sekhposyan, Tatevik
- In:
Journal of econometrics
208
(
2019
)
2
,
pp. 638-657
Persistent link: https://www.econbiz.de/10012149374
Saved in:
2
Forecasting macroeconomic variables using neural network models and three automated model selection techniques
Kock, Anders Bredahl
;
Teräsvirta, Timo
- In:
Econometric reviews
35
(
2016
)
8/10
,
pp. 1753-1779
Persistent link: https://www.econbiz.de/10011592391
Saved in:
3
Multi-step forecast error corrections : a comment on "Evaluating predictive densities of US output growth and inflation in a large macroeconomic data set" by Barbara Rossi and Tate...
Chevillon, Guillaume
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 683-687
Persistent link: https://www.econbiz.de/10010514754
Saved in:
4
Evaluating predictive densities of US output growth and inflation in a large macroeconomic data set
Rossi, Barbara
;
Sekhposyan, Tatevik
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 662-682
Persistent link: https://www.econbiz.de/10010514762
Saved in:
5
Discussion of the paper "Forecasting performance of three automated modeling techniques during the economic crisis 2007 - 2009" by A. Kock and T. Teräsvirta
Dubois, Eric
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 632-634
Persistent link: https://www.econbiz.de/10010514784
Saved in:
6
Forecasting performances of three automated modelling techniques during the economic crisis : 2007 - 2009
Kock, Anders Bredahl
;
Teräsvirta, Timo
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 616-631
Persistent link: https://www.econbiz.de/10010514786
Saved in:
7
Conditional correlation models of autoregressive conditional heteroscedasticity with nonstationary GARCH equations
Amado, Cristina
;
Teräsvirta, Timo
- In:
Journal of business & economic statistics : JBES ; a …
32
(
2014
)
1
,
pp. 69-87
Persistent link: https://www.econbiz.de/10010380478
Saved in:
8
Conditional predictive density evaluation in the presence of instabilities
Rossi, Barbara
;
Sekhposyan, Tatevik
- In:
Journal of econometrics
177
(
2013
)
2
,
pp. 199-212
Persistent link: https://www.econbiz.de/10010254876
Saved in:
9
Investigating stability and linearity of a German M1 money demand function
Lütkepohl, Helmut
;
Teräsvirta, Timo
;
Wolters, Jürgen
- In:
Journal of applied econometrics
14
(
1999
)
5
,
pp. 511-525
Persistent link: https://www.econbiz.de/10001421492
Saved in:
10
The combination of forecasts using changing weights
Deutsch, Melinda
- In:
International journal of forecasting
10
(
1994
)
1
,
pp. 47-57
Persistent link: https://www.econbiz.de/10001165389
Saved in:
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