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  • 1. Introduction (2-5); 2. Empirical tools for forecasting (5-11); 3. Data and empirical exercise (12-17); 4. Empirical results (17-29); 5. Conclusion (29-35). APPENDIX: A. Review of popular machine learning tools for forecasting (36-38); B. Review of existing methods (38-42); C. More details on the economic theory (42-44); D. Heteroskedasticity-robust prediction model averaging (HPMA) method (45-53); E. More empirical results (53-70). (xsd:string)
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  • 2018 (xsd:gyear)
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  • 2018 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • The bigger picture : combining econometrics with analytics improve forecasts of movie success (xsd:string)
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  • Buch (de)
  • Elektronische Ressource (xsd:string)
  • book (en)
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  • Cambridge, Mass.: National Bureau of economic research, 2018.- 70 S., Tab. (xsd:string)
  • GESIS-BIB (xsd:string)
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