EconPapers    
Economics at your fingertips  
 

Back to the Future: Generating Moment Implications for Continuous-Time Markov Processes

Lars Peter Hansen and Jose Scheinkman ()

No 141, NBER Technical Working Papers from National Bureau of Economic Research, Inc

Abstract: Continuous-time Markov processes can be characterized conveniently by their infinitesimal generators. For such processes there exist forward and reverse-time generators. We show how to use these generators to construct moment conditions implied by stationary Markov processes. Generalized method of moments estimators and tests can be constructed using these moment conditions. The resulting econometric methods are designed to be applied to discrete-time data obtained by sampling continuous-time Markov processes.

JEL-codes: C1 (search for similar items in EconPapers)
Date: Written
Note: AP
View list of references View citations in EconPapers

Downloads: (external link)
http://www.nber.org/papers/t0141.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html.

Related works:
Journal Article: Back to the Future: Generating Moment Implications for Continuous-Time Markov Processes (1995) Downloads
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: http://EconPapers.repec.org/RePEc:nbr:nberte:0141

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/t0141
The price is Paper copy available by mail.

Access Statistics for this paper

More papers in NBER Technical Working Papers from National Bureau of Economic Research, Inc
Address: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Contact information at EDIRC.
Series data maintained by ().

 
Page updated 2009-11-23
Handle: RePEc:nbr:nberte:0141