Parameterized Expectations Algorithm and the Moving Bounds: a comment on convergence properties
In this paper we analyze the convergence properties of the moving bounds algorithm to initialize the Parameterized Expectations Algorithm suggested by Maliar and Maliar (2003) [Journal of Business and Economic Statistics 1, pp. 88-92]. We carry out a Monte Carlo experiment to check its performance against some initialization alternatives based on homotopy principles. We do so within the framework of two standard neoclassical growth models. We show that: (i) speed of convergence is poor as compared to alternatives; (ii) starting from a not very accurate initial guess might prevent convergence in relatively simple models. The results suggest the need to fine tune Maliar and Maliar's method to improve its convergence properties.
|Date of creation:||2005|
|Contact details of provider:|| Postal: c/ Bailén 50. 41001 Sevilla|
Phone: (34) 955 055 210
Fax: (34) 955 055 211
Web page: http://www.centrodeestudiosandaluces.es
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:cea:doctra:e2005_12. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Susana Mérida)
If references are entirely missing, you can add them using this form.