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International journal of forecasting
Discussion paper / Tinbergen Institute
68
Econometric Institute Research Papers
46
Econometric Institute research papers
44
Tinbergen Institute Discussion Paper
43
Tinbergen Institute Discussion Papers
42
ERIM Report Series Research in Management
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Report / Econometric Institute, Erasmus University Rotterdam
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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SSE/EFI Working Paper Series in Economics and Finance
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Computational Statistics & Data Analysis
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Journal of Econometrics
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SSE EFI working paper series in economics and finance
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Journal of Business & Economic Statistics
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Oxford bulletin of economics and statistics
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1
Macroeconomic forecasting with matched principal components
Heij, Christiaan
;
van Dijk, Dick
;
Groenen, Patrick J.F.
- In:
International journal of forecasting
24
(
2008
)
1
,
pp. 87-100
Persistent link: https://www.econbiz.de/10007911039
Saved in:
2
Real-time macroeconomic forecasting with leading indicators: An empirical comparison
Heij, Christiaan
;
van Dijk, Dick
;
Groenen, Patrick J.F.
- In:
International journal of forecasting
27
(
2011
)
2
,
pp. 466-482
Persistent link: https://www.econbiz.de/10008782041
Saved in:
3
Real-time macroeconomic forecasting with leading indicators : an empirical comparison
Heij, Christiaan
;
Dijk, Dick van
;
Groenen, Patrick J. F.
- In:
International journal of forecasting
27
(
2011
)
2
,
pp. 466-481
Persistent link: https://www.econbiz.de/10009247466
Saved in:
4
Macroeconomic forecasting with matched principal components
Heij, Christiaan
;
Dijk, Dick van
;
Groenen, Patrick J. F.
- In:
International journal of forecasting
24
(
2008
)
1
,
pp. 87-100
Persistent link: https://www.econbiz.de/10003661236
Saved in:
5
Nonlinear forecasting with many predictors using kernel ridge regression
Exterkate, Peter
;
Groenen, Patrick J. F.
;
Heij, Christiaan
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 736-753
Persistent link: https://www.econbiz.de/10011621797
Saved in:
6
The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production
Franses, Philip Hans
;
Dijk, Dick van
- In:
International journal of forecasting
21
(
2005
)
1
,
pp. 87-102
Persistent link: https://www.econbiz.de/10002547141
Saved in:
7
Forecasting the business cycle : editorial
Ferrara, Laurent
;
Dijk, Dick van
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 517-519
Persistent link: https://www.econbiz.de/10010512290
Saved in:
8
Introduction: Forecasting returns and risk in financial markets using linear and nonlinear models
Clements, Michael P.
;
Milas, Costas
;
Dijk, Dick van
- In:
International journal of forecasting
25
(
2009
)
2
,
pp. 215-217
Persistent link: https://www.econbiz.de/10003870040
Saved in:
9
Forecasting S&P 500 volatility : long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements
Martens, Martin
;
Dijk, Dick van
;
Pooter, Michiel de
- In:
International journal of forecasting
25
(
2009
)
2
,
pp. 282-303
Persistent link: https://www.econbiz.de/10003870055
Saved in:
10
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series : a re-examination
Teräsvirta, Timo
;
Dijk, Dick van
;
Medeiros, Marcelo C.
- In:
International journal of forecasting
21
(
2005
)
4
,
pp. 755-774
Persistent link: https://www.econbiz.de/10003150707
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