In a study from 1997, Colin Camerer and collaborators find that cab drivers in NYC work less on rainy days, impacting thus their incomes. This is puzzling, because on rainy days there are more customers looking for taxi rides and taxi fares are higher. Camerer and collaborators discard various possible explanations, such as: drivers are tired; drivers are liquidity constrained; drivers take unrecorded breaks; data is biased. a. Which of the following do you think explains best taxi drivers working less on working days in New York City? Is it: (1) the January effect; (2) probability weighting; (3) MLA; (4) overconfidence; (5) wealth maximisation b. After having answered (a), explain your choice