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	Provedor de dados AgEcon (8) CIGR Journal (6) OceanDocs (2) ArchiMer (2) Ecology and Society (1) International Journal of Morphology (1) Rev. Bras. entomol. (1) Mais... Autor Clark, Richard A. (5) Timms, Janice (5) Alford, Andrew R. (3) Griffith, Garry R. (3) Hyland, Paul W. (3) Mulholland, Cynthia (3) Parnell, Peter F. (3) BELLO, SEGUN RAPHAEL (2) Daures, Fabienne (2) Guyader, Olivier (2) Akpan, Sunday Brownson (1) Amin, Mohammad Nurul (1) Baptista, Antonio Jose Medina dos Santos (1) Berthou, Patrick (1) Clement, Sarah; Department of Geography and Planning, School of Environmental Sciences, University of Liverpool ; Sarah.Clement@liverpool.ac.uk (1) Essien, Ubon A. (1) Gohiya,Sarita (1) Gohiya,Vineet Kumar (1) Gómez-Torres,Mariuxi Lorena (1) HUDA, MD. NAZMUL (1) Mais... Palavra-chave Capacity (21) Efficiency (6) Farm Management (5) Accelerated adoption (4) Partnership (4) Beef industry (3) Continuous improvement and innovation (3) Effectiveness (3) Productivity (3) Profit (3) Agribusiness (2) Capacity utilization (2) Fisheries (2) Adaptive governance (1) Agent-based computational economics (1) Agricultural and Food Policy (1) Anthropometry (1) Artisanal fishing (1) Auger (1) Australian Alps (1) Mais... Tipo do documento Info:eu-repo/semantics/article (7) Article (5) Text (2) Conference Material (1) Conference Paper or Presentation (1) Journal Article (1) Journal article (1) Peer-Reviewed Reports (1) Preprint (1) Working or Discussion Paper (1) Mais... Ano 2021 (2) 2020 (1) 2019 (1) 2017 (1) 2016 (1) 2015 (1) 2014 (1) 2011 (1) 2010 (2) 2009 (1) 2008 (6) 2005 (1) 2004 (1) 2000 (1) Mais... País United States (8) China (6) Belgium (2) France (2) Brazil (1) Canada (1) Chile (1) Mais... Idioma Inglês (19) Francês (1) Português (1)		Registro completo Provedor de dados:  AgEcon País:  United States Título:  MARKET POWER AND EFFICIENCY IN A COMPUTATIONAL ELECTRICITY MARKET WITH DISCRIMINATORY DOUBLE-AUCTION PRICING Autores:  Tesfatsion, Leigh Petrov, Valentin Nicolaisen, James Data:  2000-12-05 Ano:  2000 Palavras-chave:  Wholesale electricity market Restructuring Repeated double auction Market power Efficiency Concentration Capacity Individual reinforcement learning Genetic algorithm social learning Agent-based computational economics Industrial Organization Resumo:  This study reports experimental market power and efficiency outcomes for a computational wholesale electricity market operating in the short run under systematically varied concentration and capacity conditions. The pricing of electricity is determined by means of a clearinghouse double auction with discriminatory midpoint pricing. Buyers and sellers use a modified Roth Erev individual reinforcement learning algorithm to determine their price and quantity offers in each auction round. It is shown that high market efficiency is generally attained, and that market microstructure is strongly predictive for the relative market power of buyers and sellers independently of the values set for the reinforcement learning parameters. Results are briefly compared against results from an earlier study in which buyers and sellers instead engage in social mimicry learning via genetic algorithms. Tipo:  Working or Discussion Paper Idioma:  Inglês Identificador:  2343 http://purl.umn.edu/18195 Editor:  AgEcon Search Relação:  Iowa State University>Department of Economics>Economic Reports Economic Report 52 (revised) Formato:  27 application/pdf Fechar

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