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Combining Economic Forecasts by Using a Maximum Entropy Econometric Approach

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  • Blanca Moreno
  • Ana Jesús López

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  • Blanca Moreno & Ana Jesús López, 2013. "Combining Economic Forecasts by Using a Maximum Entropy Econometric Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(2), pages 124-136, March.
    • Handle: RePEc:wly:jforec:v:32:y:2013:i:2:p:124-136
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    Cited by:

    1. Bacci, Livio Agnew & Mello, Luiz Gustavo & Incerti, Taynara & Paulo de Paiva, Anderson & Balestrassi, Pedro Paulo, 2019. "Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated fact," International Journal of Production Economics, Elsevier, vol. 212(C), pages 186-211.
    2. López Menéndez, Ana Jesús & Pérez Suárez, Rigoberto, 2017. "Forecasting Performance and Information Measures. Revisiting the M-Competition /Evaluación de Predicciones y Medidas de Información. Reexamen de la M-Competición," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 299-314, Mayo.
    3. Liu, Xiuli & Moreno, Blanca & García, Ana Salomé, 2016. "A grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors," Energy, Elsevier, vol. 115(P1), pages 1042-1054.

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