Estimation of a Dynamic Auction Game

Working Paper: NBER ID: w8626

Authors: Mireia Jofre-Bonet; Martin Pesendorfer

Abstract: This paper proposes an estimation method for a repeated auction game under the presence of capacity contraints. The estimation strategy is computationally simple as it does not require solving for the equilibrium of the game. It uses a two stage approach. In the first stage the distribution of bids conditional on state variables is estimated using data on bids, bidder characteristics and contract characteristics. In the second stage, an expression of the expected sum of future profits based on the distribution of bids is obtained, and costs are inferred based on the first order condition of optimal bids. We apply the estimation method to repeated highway construction procurement auctions in the state of California between May 1996 and May 1999. In this market, previously won uncompleted contracts reduce the probability of winning further contracts. We quantify the effect of intertemporal constraints on bidders' costs and on bids. Due to the intertemporal effect and also to bidder asymmetry, the auction can be inefficient. Based on the estimates of costs, we quantify efficiency losses.

Keywords: No keywords provided

JEL Codes: D44; D82


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
previously won uncompleted contracts (D86)reduce the probability of winning further contracts (D86)
backlog (D25)increase bidders' costs (D44)
backlog (D25)affect bidding strategy (D44)
intertemporal constraints (D15)increase bidders' costs (D44)
backlog (D25)increase costs outweighing expertise effects (D24)
intertemporal constraints (D15)affect bidding behavior (D44)

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