EconPapers has moved to http://EconPapers.repec.org! Please update your bookmarks.
Parametric continuity of stationary distributions
John Stachurski ()
Cuong Le van Cahiers de la Maison des Sciences Economiques from Université Panthéon-Sorbonne (Paris 1)
The paper gives conditions under which stationary distributions of Markov models depend continuously on the parameters. It extends a well-known parametric continuity theorem for compact state space to the unbounded setting of standard econometrics and time series analysis. Applications to several theoretical and estimation problems are outlined.
Keywords: Stationary distribution; parametric continuity; Markov process; Solow-Phelps golden rule; Foias operator; V norm-like function; Feller property (search for similar items in EconPapers)
JEL-codes: O41 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc Citations View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link) ftp://mse.univ-paris1.fr/pub/mse/cahiers2004/B04059.pdf (application/pdf)
Related works: Journal Article: Parametric continuity of stationary distributions (2007) Working Paper: Parametric continuity of stationary distributions (2007) Working Paper: Parametric Continuity of Stationary Distributions (2006) Working Paper: Parametric Continuity of Stationary Distributions (2004) This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:mse:wpsorb:b04059
Access Statistics for this paper
More papers in Cahiers de la Maison des Sciences Economiques from Université Panthéon-Sorbonne (Paris 1)
Contact information at EDIRC. Series data maintained by Lucie Label ().