Yardstick Based Procurement Design In Natural Resource Management

This paper discuss the design of multidimensional yardstick based procurement auction. The suggested design combines Data Envelopment Analysis (DEA) based yardstick schemes with the multidimensional score auction. The principal select a single winner to perform a project, characterized by a multidimensional vector. The design is especially useful when there are uncertainty about the underlying common cost structure as well as the principal's valuation function. Potential applications in natural resource management is provided.Resource /Energy Economics and Policy,

Multidimensional procurement auctions with unknown weights

This paper studies the consequences of holding a procurement auction when the principal chooses not to show its preferences. My paper extends the procurement auction model of Che (1993) to a situation where both the principal and the agents have private information. Thus, unknown parameters of both the principal and the agents leads to unclear reaction strategies. I show that an unknown weight on the principal’s valuation of quality leads to the production of to much quality and to high informational rent. A problem that can be reduced using a revelation mechanism. Having an unknown weight on quality gives rise to an analysis of a principal that can not fully commit to the outcome induced by the scoring rule. Therefore, my result apply to contract theory and it’s problems with imperfect commitment.Mechanism design, contract theory, multidimensional auctions

Equilibrium in Scoring Auctions

This paper studies multi-attribute auctions in which a buyer seeks to procure a complex good and evaluate offers using a quasi-linear scoring rule. Suppliers have private information about their costs, which is summarized by a multi-dimensional type. The scoring rule reduces the multidimensional bids submitted by each supplier to a single dimension, the score, which is used for deciding on the allocation and the resulting contractual obligation. We exploit this idea and obtain two kinds of results. First, we characterize the set of equilibria in quasi-linear scoring auctions with multi-dimensional types. In particular, we show that there exists a mapping between the class of equilibria in these scoring auctions and those in standard single object IPV auctions. Second, we prove a new expected utility equivalence theorem for quasi-linear scoring auctions.Auctions, Procurement

Information Disclosure in Procurement Auctions with Horizontally Differentiated Suppliers

This work studies a model of multidimensional auction in which a buyer needs to procure a given good from either of two potential suppliers whose quality is the buyer's private information and whose production costs are heterogeneous. Costs asymmetries constitute a novelty in this framework and extend e.g. the model of Gal-Or et al. (2007). We compare the outcomes of different procurement policies from the viewpoint of both efficiency and the buyer's payoff. A trade-off between efficiency and rent-extraction emerges. The buyer will maximize her expected utility by selecting a first score auction and either concealing or privately revealing suppliers'quality - the optimal choice depending on the degree of heterogeneity in suppliers' costs and qualities. However, neither of these auction mechanisms will be efficient: efficiency calls for a second score auction or a first score auction with public disclosure of suppliersquality. The findings hinge on the equivalence between auction models and models of horizontal differentiation and take advantage of results for asymmetric auctions developed by Maskin & Riley (2000).multidimensional auctions, procurement policies, endogenous information, horizontal di¤erentiation, asymmetric auctions.

Empirical Models of Auctions

Many important economic questions arising in auctions can be answered only with knowledge of the underlying primitive distributions governing bidder demand and information. An active literature has developed aiming to estimate these primitives by exploiting restrictions from economic theory as part of the econometric model used to interpret auction data. We review some highlights of this recent literature, focusing on identification and empirical applications. We describe three insights that underlie much of the recent methodological progress in this area and discuss some of the ways these insights have been extended to richer models allowing more convincing empirical applications. We discuss several recent empirical studies using these methods to address a range of important economic questions.Auctions, Identification, Estimation, Testing

Market Design with Correlated Valuations

The effects of information on market design are explored in a simple setting where firms have private information about their correlated fixed costs and the government aims to maximize its expected revenue conditional on achieving efficient allocations. Government revenues are higher when the costs are less correlated (or are more of a private value). The reduced correlation increases the firms' information rents, but a change in the information structure also changes the expected market structures with positive effects on government revenues. If the government faces the no-deficit constraint, there are situations where efficient allocations are achieved under asymmetric information but not under symmetric information.market structure, correlated values, market design, government revenue

Empirical Models of Auctions

Many important economic questions arising in auctions can be answered only with knowledge of the underlying primitive distributions governing bidder demand and information. An active literature has developed aiming to estimate these primitives by exploiting restrictions from economic theory as part of the econometric model used to interpret auction data. We review some highlights of this recent literature, focusing on identification and empirical applications. We describe three insights that underlie much of the recent methodological progress in this area and discuss some of the ways these insights have been extended to richer models allowing more convincing empirical applications. We discuss several recent empirical studies using these methods to address a range of important economic questions.

Winner's Curse Corrections Magnify Adverse Selection

The adverse-selection literature has only considered the case in which competing sellers' costs of supply are independent and privately known by the individual sellers. In contrast, the auction literature has ignored adverse selection by implicitly assuming that a bid-taker is indifferent between suppliers at a given price. We show that competition in auctions with common-value elements serves to magnify the impact of adverse selection, as a bidder supplying a higher-cost product rationally makes a heightened winner's curse correction in a procurement auction. Hence lower-cost suppliers are disproportionately likely to win the auction, potentially creating a more serious quality problem for the procurer than mainstream adverse-selection models suggest.winner's curse; adverse selection; common-value auctions; procurement; product quality