Forecasting Regional Industrial Production with High-Frequency Electricity Consumption Data
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- Robert Lehmann & Sascha Möhrle, 2024. "Forecasting regional industrial production with novel high‐frequency electricity consumption data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1918-1935, September.
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Cited by:
- Grega Ferenc, 2023. "Darstellung der Indikatoren zur Beobachtung des Arbeitsmarktes in Sachsen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 30(01), pages 28-30, February.
- Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas, 2023. "Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania," Economies, MDPI, vol. 11(5), pages 1-21, May.
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More about this item
Keywords
electricity consumption; real-time indicators; forecasting; nowcasting;All these keywords.
JEL classification:
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2022-10-24 (Energy Economics)
- NEP-FOR-2022-10-24 (Forecasting)
- NEP-GEO-2022-10-24 (Economic Geography)
- NEP-URE-2022-10-24 (Urban and Real Estate Economics)
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