Data for: Empirical evidence on discrimination in multi-technology renewable energy auctions in Europe
Description
Data accompanying the submission "Empirical evidence on discrimination in multi-technology renewable energy auctions in Europe" by Julius Buschle, Vasilios Anatolitis, and Patrick Plötz to the journal "Energy Policy". We conducted a fractional logit regression to empirically measure the impact of various auction design elements on the success rates of two technologies, solar PV and onshore wind, in multi-technology renewable energy auctions, based on data from 57 auction rounds from 2011 – 2021 in Europe. Here, you can find the following data: 1. R-code for the curation of data and the regression analysis 2. Renewable energy shares in European countries (based on data from Eurostat and own interpolation) for control variables 3. Data on European auctions (based on AURES II Auction Database) for dependent and explanatory variables