This paper estimates the depreciation of over twenty varieties of Ford Windstar passenger vans, using several hundred thousand observations from a deep collection of wholesale auction transactions. The data permit the estimation of individual vehicle ages apart from differences between resale- and model-years, so that age-, date-, and vintage- effects are all identifiable. Depreciation is modeled in two parts, estimated separately: obsolescence, wherein new model-years depress the resale values of older cohorts uniformly; and ordinary wear-and-tear, which reduces the resale values of individual vehicles in a nonuniform manner summarized by different individual-level service-lives. Obsolescence (and inflation) are estimated first, in a regression setting of third-order functions of age and miles to hold individual effects constant, allowing varietal and quarterly time dummies to trace each variety's counterfactual "as-if-new" price through time in a way that upholds the useful fiction of a Hicksian aggregate. The estimated as-if-new prices then anchor individual-level resale-price profiles, which are embedded in implicit service-life densities that vary over time and age. Quarterly moments of prices and miles are then matched by adjusting parameters for wear-and-tear.