@article{LilliestamMelligerOllieretal.2020,
  author    = {Lilliestam, Johan and Melliger, Marc Andr{\´e} and Ollier, Lana and Schmidt, Tobias S. and Steffen, Bjarne},
  title     = {Understanding and accounting for the effect of exchange rate fluctuations on global learning rates},
  series = {Nature energy},
  volume    = {5},
  journal   = {Nature energy},
  number    = {1},
  publisher = {Nature Publishing Group},
  address   = {Berlin},
  issn      = {2058-7546},
  doi       = {10.1038/s41560-019-0531-y},
  pages     = {71 -- 78},
  year      = {2020},
  abstract  = {Learning rates are a central concept in energy system models and integrated assessment models, as they allow researchers to project the future costs of new technologies and to optimize energy system costs. Here we argue that exchange rate fluctuations are an important, but thus far overlooked, determinant of the learning-rate variance observed in the literature. We explore how empirically observed global learning rates depend on where technologies are installed and which currency is used to calculate the learning rate. Using global data of large-scale photovoltaic (>= 5 MW) plants, we show that the currency choice can result in learning-rate differences of up to 16 percentage points. We then introduce an adjustment factor to correct for the effect of exchange rate and market focus fluctuations and discuss the implications of our findings for innovation scholars, energy modellers and decision makers. <br /> Learning rates are a measure of reduction in costs of energy from technologies such as solar photovoltaics. These are often estimated internationally with all monetary figures converted to a single currency, often US dollars. Lilliestam et al. show that such conversions can significantly affect the learning rate estimates.},
  language  = {en}
}