Estimation by Simulation of Monotone Dynamical Systems
Manuel Santos
Working Papers from Department of Economics, W. P. Carey School of Business, Arizona State University
Abstract:
This paper offers a general proof of consistency for the simulated moments estimator in a parameterized family of stochastic models with monotone dynamics. Models with this monotonicity property are frequently encountered in economic applications. The proof of consistency of the estimator draws upon a uniform law of large numbers over a continuum of invariant distributions indexed by the model’s parameters.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://wpcarey.asu.edu/tools/mytools/pubs_admin/FILES/monotonedecisonjournal.pdf
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://wpcarey.asu.edu/tools/mytools/pubs_admin/FILES/monotonedecisonjournal.pdf [301 Moved Permanently]--> https://wpcarey.asu.edu/tools/mytools/pubs_admin/FILES/monotonedecisonjournal.pdf)
Related works:
Working Paper: Estimation by Simulation of Monotone Dynamical Systems (2003) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:asu:wpaper:2133542
Access Statistics for this paper
More papers in Working Papers from Department of Economics, W. P. Carey School of Business, Arizona State University Contact information at EDIRC.
Bibliographic data for series maintained by Steve Salik ( this e-mail address is bad, please contact ).