Suggested general background/supportive literature (more details given during the course):
Einav & Finkelstein "Selection in Insurance Markets", https://doi.org/10.1257/jep.25.1.115https://doi.org/10.1257/jep.25.1.115
Aarbu (2015) - "Asymmetric Information in the Home Insurance Market". https://doi.org/10.1111/jori.12084https://doi.org/10.1111/jori.12084
Zhang, Bradlow & Small (2013) : "New measures of clumpiness for incidence data https://doi.org/10.1080/02664763.2013.818627https://doi.org/10.1080/02664763.2013.818627
Varian (2014): "Big Data: New Tricks for Econometrics" https://doi.org/10.1257/jep.28.2.3https://doi.org/10.1257/jep.28.2.3
Mullaainathan & Spiess (2017): "Machine Learning: An Applied Econometric Approach" https://doi.org/10.1257/jep.31.2.87https://doi.org/10.1257/jep.31.2.87
Breiman (2001), "Statistical Modelling": The Two Cultures http://https://www.jstor.org/stable/2676681https://www.jstor.org/stable/2676681
Sutton & Barto, "Reinforcement Learning: An Introduction (chapter 1 and 2) http://incompleteideas.net/book/RLbook2018.pdfhttp://incompleteideas.net/book/RLbook2018.pdf
Loss Data Analytics (https://openacttexts.github.io/Loss-Data-Analytics/https://openacttexts.github.io/Loss-Data-Analytics/)