Dynamic Airline Pricing: Theory and Evidence
Faculty Supervisor(s):

Aniko Oery and Kevin Williams

Project Description:

Aniko Oery and Kevin Williams are seeking to recruit one highly skilled and motivated individual to join the Pre-doctoral Fellowship program to work on dynamic pricing projects along with Ali Hortacsu at the University of Chicago. The prospective pre-doctoral fellow will work on projects studying the U.S. airline, an industry that directly supports over two million jobs and contributes over $700 billion to the US economy. The pre-doctoral fellow will work with unique airline data provided by a large international airline based in the U.S. This is a big data project – the pre-doctoral fellow will have the opportunity to work with click-stream data that track all consumer interactions online, forecasting data for hundreds of thousands of flights, as well as data on bookings and the pricing decisions made by the firm. Sample tasks the candidate will perform are: How do consumers shop for tickets; How flexible are consumers in their travel planes; How do airlines respond to rivals' price changes; What happens when a competitor starts service on a route with loyal or non-loyal customers?

During the one or two-year fellowship, the successful candidate will develop her/his own research agenda under the supervision of Professors Oery and Williams at the Yale School of Management. The pre-doctoral fellow will join a small group of research assistants dedicated to faculty at the Yale SOM, but the candidate will also have access and support to all the resources of the Tobin Center.

This position is intended to provide training in the field of economics research to prepare a candidate for doctoral studies in graduate school. This position presents an opportunity for recent graduates to begin training for a career in research and will serve as a stepping stone to doctoral studies.

Requisite Skills and Qualifications:

Successful candidates should have a well-demonstrated interest in applied microeconomic research, strong communication skills, and must be proficient in Python (multiprocessing, dask, pandas, json, re, etc.). The candidate should be familiar with SQL. Strong analytical skills, including exposure to proof-based math classes required. Applicants must have completed a bachelor’s or master’s degree.

Special Application Instructions:

Applicants interested in this position should include multiple coding samples in their application file. A link to a github acccount is preferred. As part of the application review process, finalists will also be asked to complete a training exercise.