EconPapers    
Economics at your fingertips  
 

Complements and Substitutes in Sequential Auctions: The Case of Water Auctions

Javier Donna and Espin-Sanchez, Jose

MPRA Paper from University Library of Munich, Germany

Abstract: We use data on sequential water auctions to estimate demand when units are complements or substitutes. A sequential English auction model determines the estimating structural equations. When units are complements, one bidder wins all units by paying a high price for the first unit, thus deterring others from bidding on subsequent units. When units are substitutes, different bidders win the units with positive probability, paying prices similar in magnitude. We recover individual demand consistent with this stark pattern of outcomes and confirm it is not collusive but consistent with noncooperative behavior. Demand estimates are biased if one ignores these features.

Keywords: Auctions; Structural Demand Estimation; Market Structure; Competition; Collusion (search for similar items in EconPapers)
JEL-codes: C13 D44 L10 L40 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-com and nep-gth
Date: 2018-02-18
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Published in RAND Journal of Economics 1.49(2018): pp. 87-127

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/90052/1/MPRA_paper_90052.pdf original version (application/pdf)

Related works:
Working Paper: Complements and Substitutes in Sequential Auctions: The Case of Water Auctions (2014) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:90052

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2019-05-12
Handle: RePEc:pra:mprapa:90052