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@article{2256597, author = {Camboni, Riccardo and Corazzini, Luca and Galavotti, Stefano and Valbonesi, Paola}, article_location = {Washington}, doi = {http://dx.doi.org/10.1162/rest_a_01288}, keywords = {laboratory experiment; procurement auctions; scoring rule auctions; multiattribute auctions; complexity}, language = {eng}, issn = {0034-6535}, journal = {The Review of Economics and Statistics}, title = {Bidding on Price and Quality: An Experiment on the Complexity of Scoring Rule Auctions}, url = {https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_01288/114759/Bidding-on-Price-and-Quality-An-Experiment-on-the?redirectedFrom=fulltext}, year = {2024} }
TY - JOUR ID - 2256597 AU - Camboni, Riccardo - Corazzini, Luca - Galavotti, Stefano - Valbonesi, Paola PY - 2024 TI - Bidding on Price and Quality: An Experiment on the Complexity of Scoring Rule Auctions JF - The Review of Economics and Statistics PB - The MIT Press SN - 00346535 KW - laboratory experiment KW - procurement auctions KW - scoring rule auctions KW - multiattribute auctions KW - complexity UR - https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_01288/114759/Bidding-on-Price-and-Quality-An-Experiment-on-the?redirectedFrom=fulltext N2 - We experimentally study procurement auctions when both quality and price matter. We compare two treatments where sellers compete on one dimension only (price or quality), with three treatments where sellers submit a price-quality bid and the winner is determined by a scoring rule that combines the two offers. We find that, in the scoring rule treatments, efficiency and buyer's utility are lower than predicted. Estimates from a Quantal Response Equilibrium model suggest that increasing the dimension of the strategy space imposes a complexity burden on sellers, so that a simpler mechanism like a quality-only auction may be preferable. ER -
CAMBONI, Riccardo, Luca CORAZZINI, Stefano GALAVOTTI and Paola VALBONESI. Bidding on Price and Quality: An Experiment on the Complexity of Scoring Rule Auctions. \textit{The Review of Economics and Statistics}. Washington: The MIT Press, 2024, 45 pp. ISSN~0034-6535. Available from: https://dx.doi.org/10.1162/rest\_{}a\_{}01288.
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