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  • Search: subject:"diffusion index forecast"
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Year of publication
Subject
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diffusion index forecast 2 electricity load 2 seasonality 2 Approximate factor structure 1 Autocorrelation 1 Autokorrelation 1 Bandwidth selection 1 Diffusion index forecast 1 Estimation 1 Estimation theory 1 Factor analysis 1 Faktorenanalyse 1 Forecasting model 1 Induktive Statistik 1 Panel 1 Panel study 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1 Ro-bust inference 1 Schätztheorie 1 Schätzung 1 Spatial HAC estimator 1 Statistical inference 1 Time series analysis 1 Zeitreihenanalyse 1
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Online availability
All
Free 3
Type of publication
All
Book / Working Paper 3
Type of publication (narrower categories)
All
Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
All
Undetermined 2 English 1
Author
All
Rotger, G.P. 2 Franses, Ph.H.B.F. 1 Franses, Philip Hans 1 Kim, Min Seong 1
Institution
All
Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
All
Econometric Institute Report 1 Econometric Institute Research Papers 1 Working papers / University of Connecticut, Department of Economics 1
Source
All
RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Robust inference for diffusion-index forecasts with cross-sectionally dependent data
Kim, Min Seong - 2021
Persistent link: https://www.econbiz.de/10012593573
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Forecasting high-frequency electricity demand with a diffusion index model.
Franses, Philip Hans; Rotger, G.P. - Faculteit der Economische Wetenschappen, Erasmus … - 2006
We propose a discussion index model (Stock and Watson, 2002) to fore- cast electricity demand for one hour to one week ahead. The model is particularly useful as it captures complicated seasonal patterns in the data. The forecast performance of the proposed method is illustrated with a simulated...
Persistent link: https://www.econbiz.de/10010837726
Saved in:
Cover Image
Forecasting high-frequency electricity demand with a diffusion index model.
Rotger, G.P.; Franses, Ph.H.B.F. - Erasmus University Rotterdam, Econometric Institute - 2006
We propose a discussion index model (Stock and Watson, 2002) to fore- cast electricity demand for one hour to one week ahead. The model is particularly useful as it captures complicated seasonal patterns in the data. The forecast performance of the proposed method is illustrated with a simulated...
Persistent link: https://www.econbiz.de/10005795591
Saved in:
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