 The Welfare Effects of Intertemporal Price Discrimination: An Empirical Analysis of Airline Pricing in U.S. Monopoly Markets, January 2013, revise and resubmit at the American Economic Review [PDF]
This paper studies how a firm's ability to price discriminate over time affects production, product quality, and the product allocation among consumers. The theoretical model has forwardlooking and heterogeneous consumers who face a monopoly firm. The firm can affect the quality and quantity of the goods sold each period. I show that the welfare effects of intertemporal price discrimination are parameterdependent. I use this model to study the time paths of prices for airline tickets offered on monopoly routes in the U.S. Using estimates of the model's demand and cost parameters, I compare the welfare travelers receive under the current ticketing system to several alternative systems, including one in which there is free resale of airline tickets.
 Simulating the Dynamic Effects of Horizontal Mergers: U.S. Airlines, with Lanier Benkard and Aaron BodohCreed, May 2010 [PDF]

 Getting More from Less: Understanding Airline Pricing, September 2012 [PDF] [Slides].
Motivated by pricing practices in the airline industry, the paper studies
the incentives of players to publicly and independently limit the sets of
actions they can play later in a game. I find that to benefit from
selfrestraint, players have to exclude all actions that create temptations
to deviate and keep some actions that can deter deviations of others. I
develop a set of conditions under which these strategies form a subgame
perfect equilibrium and show that in a Bertrand oligopoly, firms can
mutually gain from selfrestraint, while in a Cournot oligopoly they cannot.

 The Identification Power of the Markov Assumption in Dynamic Discrete Choice Models, July 2013 [Slides]
This paper studies the identification power of the Markov assumption in dynamic discrete choice models with unobserved heterogeneity. Based on the fact that a mixture of Markov processes violates the Markov property, I propose a test for the presence of unobserved heterogeneity and show how to recover individual policy functions from a mixture of Markov processes. This result extends the set of dynamic discrete choice models to which the twostep estimator of Bajari, Benkard, and Levin (2007) can be applied.
