Computationally Intensive Analyses in Economics
In: Handbook of Computational Economics
AbstractComputer technology presents economists with new tools, but also raises novel methodological issues. This essay discusses the challenges faced by computational researchers, and proposes some solutions.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
This chapter was published in:
This item is provided by Elsevier in its series Handbook of Computational Economics with number 2-17.
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/bookseriesdescription.cws_home/BS_HE/description
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers 12402, Iowa State University, Department of Economics.
- Isabelle Salle & Pascal Seppecher, 2013.
"Social Learning about Consumption,"
- Gevel, A.J.W. van de & Noussair, C.N., 2012. "The Nexus between Artificial Intelligence and Economics," Discussion Paper 2012-087, Tilburg University, Center for Economic Research.
- Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Society for Computational Economics, vol. 30(3), pages 265-290, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.