Estimating Auction Equilibria using Individual Evolutionary Learning

I develop the Generalized Evolutionary Nash Equilibrium Estimator (GENEE) library. The tool is designed to provide a generic computational library for running genetic algorithms and individual evolutionary learning in economic decision-making environments. Most importantly, I have adapted the librar...

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Main Author:	James, Kevin
Format:	Others
Published:	Chapman University Digital Commons 2019
Subjects:	genetic algorithms Behavioral Economics
Online Access:	https://digitalcommons.chapman.edu/cads_dissertations/1 https://digitalcommons.chapman.edu/cgi/viewcontent.cgi?article=1000&context=cads_dissertations

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spelling	ndltd-chapman.edu-oai-digitalcommons.chapman.edu-cads_dissertations-10002019-10-21T03:13:00Z Estimating Auction Equilibria using Individual Evolutionary Learning James, Kevin I develop the Generalized Evolutionary Nash Equilibrium Estimator (GENEE) library. The tool is designed to provide a generic computational library for running genetic algorithms and individual evolutionary learning in economic decision-making environments. Most importantly, I have adapted the library to estimate equilibria bidding functions in auctions. I show it produces highly accurate estimates across a large class of auction environments with known solutions. I then apply GENEE to estimate the equilibria of two additional auctions with no known solutions: first-price sealed-bid common value auctions with multiple signals, and simultaneous first-price auctions with subadditive values 2019-05-31T07:00:00Z text application/pdf https://digitalcommons.chapman.edu/cads_dissertations/1 https://digitalcommons.chapman.edu/cgi/viewcontent.cgi?article=1000&context=cads_dissertations http://creativecommons.org/licenses/by/4.0/ Computational and Data Sciences (Ph.D.) Dissertations Chapman University Digital Commons genetic algorithms Behavioral Economics
collection	NDLTD
format	Others
sources	NDLTD
topic	genetic algorithms Behavioral Economics
spellingShingle	genetic algorithms Behavioral Economics James, Kevin Estimating Auction Equilibria using Individual Evolutionary Learning
description	I develop the Generalized Evolutionary Nash Equilibrium Estimator (GENEE) library. The tool is designed to provide a generic computational library for running genetic algorithms and individual evolutionary learning in economic decision-making environments. Most importantly, I have adapted the library to estimate equilibria bidding functions in auctions. I show it produces highly accurate estimates across a large class of auction environments with known solutions. I then apply GENEE to estimate the equilibria of two additional auctions with no known solutions: first-price sealed-bid common value auctions with multiple signals, and simultaneous first-price auctions with subadditive values
author	James, Kevin
author_facet	James, Kevin
author_sort	James, Kevin
title	Estimating Auction Equilibria using Individual Evolutionary Learning
title_short	Estimating Auction Equilibria using Individual Evolutionary Learning
title_full	Estimating Auction Equilibria using Individual Evolutionary Learning
title_fullStr	Estimating Auction Equilibria using Individual Evolutionary Learning
title_full_unstemmed	Estimating Auction Equilibria using Individual Evolutionary Learning
title_sort	estimating auction equilibria using individual evolutionary learning
publisher	Chapman University Digital Commons
publishDate	2019
url	https://digitalcommons.chapman.edu/cads_dissertations/1 https://digitalcommons.chapman.edu/cgi/viewcontent.cgi?article=1000&context=cads_dissertations
work_keys_str_mv	AT jameskevin estimatingauctionequilibriausingindividualevolutionarylearning
_version_	1719273040358932480

Estimating Auction Equilibria using Individual Evolutionary Learning

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