How well do experience curves predict technological progress? A method for making distributional forecasts

Experience curves are widely used to predict the cost benefits of increasing the deployment of a technology. But how good are such forecasts? Can one predict their accuracy a priori? In this paper we answer these questions by developing a method to make distributional forecasts for experience curves...

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Veröffentlicht in:Technological forecasting & social change 2018-03, Vol.128, p.104-117
Hauptverfasser: Lafond, François, Bailey, Aimee Gotway, Bakker, Jan David, Rebois, Dylan, Zadourian, Rubina, McSharry, Patrick, Farmer, J. Doyne
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Sprache:eng
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