We study identification of preferences in static single-agent discrete choice models where decision makers may be imperfectly informed about the state of the world. We leverage the notion of one-player Bayes Correlated Equilibrium by Bergemann and Morris (2016) to provide a tractable...

Growing vehicle use and congestion externalities have led many to consider alternative congestion pricing mechanisms, as road pricing often has high infrastructural costs and faces public opposition. This paper explores the role of parking taxation in reducing congestion by considering a natural...

We study the effects of granting an exit option that enables the private party to early terminate a PPP project if it turns out to be loss-making. In a continuous time setting with hidden information about stochastic operating profits, we show that a revenue-maximizing government can optimally...

The new surge in electric vehicle (EV) charging in Texas can be served efficiently during the early morning hours with large wind generation, low electricity demand, low prices, and low environmental damage. This paper simulates the ERCOT wholesale electricity market and its environmental...

Discrete Choice Experiments (DCEs) designed to estimate willingness-to-pay (WTP) values are very popular in health economics. With increased computation power and advanced simulation techniques, random-coefficient models have gained an increasing importance in applied work as they allow for...