1. First estimates of itinerary-level price elasticities based on detailed ticketing data 2. Offer a set of valid instruments that can be used in future studies of air travel demand 3. Estimate detailed time of day preferences that vary as a function of distance, direction of travel (e.g., EW, WE, NS), number of time zones travelled, and itinerary segment (outbound, inbound, one-way) 4. Developed a framework to extend analysis to examine impact of online search and purchase behavior on itinerary choice model.
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