Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6459737 | Forest Policy and Economics | 2017 | 9 Pages |
â¢I exploit data from U.S. Forest Service in first-price auctions.â¢I measure the interdependence between bidders in U.S. Forest auctions.â¢Parametric and nonparametric tests provide evidence of interdependent values.â¢I derive the optimal first-price auction: rotation, reservation price, strategy.â¢Forest owner's and bidders' surplus are considerably understated under IPV and APV.
This article exploits first-price sealed-bid auctions data from the U.S. Forest Service to find through a semi-parametric estimation evidence of interdependent values in the bidding behavior in the Forestry. Under this assumption, a theoretical model is developed for forest land auctions such that management of the forest is released to the winning firm. I characterize in the first-price auctions the optimal rotation as well as the reservation price. A calibration of the model is then proposed using the estimated parameters as well as the estimation of the underlying distribution of signals.