Circumventing the Curse of Dimensionality in Applied Work Using Computer Intensive Methods
AbstractFollowing recent advances in the development of simulation-based inference, the author outlines a suite of programs designed to circumvent the 'curse of dimensionality' common to the class of so-called qualitative and limited dependent variable models. The author discusses the nature of the dimensionality problem, briefly introduces the form of a simple simulation technique, outlines the structure and capabilities of the programs, and provides a numerical experiment. Copyright 1995 by Royal Economic Society.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Royal Economic Society in its journal The Economic Journal.
Volume (Year): 105 (1995)
Issue (Month): 429 (March)
Contact details of provider:
Postal: Office of the Secretary-General, School of Economics and Finance, University of St. Andrews, St. Andrews, Fife, KY16 9AL, UK
Phone: +44 1334 462479
Web page: http://www.res.org.uk/
More information through EDIRC
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Grazzini, Jakob & Richiardi, Matteo, 2013.
"Consistent Estimation of Agent-Based Models by Simulated Minimum Distance,"
Department of Economics and Statistics Cognetti de Martiis. Working Papers
201335, University of Turin.
- Jakob Grazzini & Matteo G. Richiardi, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," LABORatorio R. Revelli Working Papers Series 130, LABORatorio R. Revelli, Centre for Employment Studies.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.