Data/hora: 11/06/2024 10:08:46

Provedor de dados: | 31
País: | United States
Título: | TEACHING AGENT-BASED COMPUTATIONAL ECONOMICS TO GRADUATE STUDENTS
Autores: | Tesfatsion,   Leigh.
Data: | 1998-09-17
Ano: | 1998
Palavras-chave: | Institutional and Behavioral Economics; Teaching/Communication/Extension/Profession.
Resumo: | For a postscript copy of this paper, click &lt;a href="/Data/isu/er45.ps"&gt; here. &lt;/A&gt;  Agent-base computational economics (ACE) is roughly defined as the computational study of economies modelled as evolving decentralized systems of autonomous interacting agents.  A key focus of ACE research is understanding how global regularities arise from the bottom up, through the repeated local interactions of autonomous agents channeled through socio-economic institutions, rather than from top down coordination mechanisms such as imposed market clearing constraints or an assumption of single representative agents.  This paper discusses how ACE materials have been introduced into graduate-level course in macroeconomic theory over the past several years, using an ACE labor market framework for concrete illustration.
Tipo: | Working or Discussion Paper
Idioma: | Inglês

Identificador:

942

http://purl.umn.edu/18193

Editor: | AgEcon Search

Relação:

Iowa State University&gt;Department of Economics&gt;Economic Reports

Economic Report 45

Formato:

38

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