This paper incorporates owners' decisions to keep, repair or scrap their old vehicles into a simulation model of fleet emissions. This decision depends critically on the owner's perceived value of the vehicle, so we examine the factors affecting owners' valuations of their old vehicles using a unique longitudinal dataset. Willingness to accept for the vehicle is well predicted by mileage and condition of the car, and declines systematically with its age. Our estimated model of vehicle value is used as an input into a simulation model of a 1,000-car fleet representative of California's fleet. Other inputs into the simulation models are the estimated distributions of emissions in the fleet, and two equations that link emissions reductions to the cost of... |