Genetic algorithm learning in a New Keynesian macroeconomic setup

In order to understand heterogeneous behavior amongst agents, empirical data from Learning-to-Forecast (LtF) experiments can be used to construct learning models. This paper follows up on Assenza et al. (2013) by using a Genetic Algorithms (GA) model to replicate the results from their LtF experimen...

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Detalles Bibliográficos
Autores principales: Hommes, Cars, Makarewicz, Tomasz, Massaro, Domenico, Smits, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658479/
https://www.ncbi.nlm.nih.gov/pubmed/29104372
http://dx.doi.org/10.1007/s00191-017-0511-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658479/
https://www.ncbi.nlm.nih.gov/pubmed/29104372
http://dx.doi.org/10.1007/s00191-017-0511-y

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