Simulation estimation of dynamic discrete choice panel models with accelerated importance samplers
With long time series for dynamic discrete choice panel models, the Geweke--Hajivassiliou--Keane sampler has been observed to have large biases and root-mean-square errors. The Richard--Zhang accelerated importance sampler is extended for the simulation estimation of such models. It is demonstrated to be adequate and can improve upon the Geweke--Hajivassiliou--Keane sampler for lengthy time-series panels by Monte Carlo means. Empirical applications of the proposed method on firm's dividend decisions illustrate the practical value of the accelerated importance sampler. Copyright Royal Economic Socciety 2004
If 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.
Volume (Year): 7 (2004)
Issue (Month): 1 (06)
|Contact details of provider:|| Postal: Office of the Secretary-General, Rm E35, The Bute Building, Westburn Lane, St Andrews, KY16 9TS, UK|
Phone: +44 1334 462479
Web page: http://www.res.org.uk/
More information through EDIRC
|Order Information:||Web: http://www.ectj.org|
When requesting a correction, please mention this item's handle: RePEc:ect:emjrnl:v:7:y:2004:i:1:p:120-142. 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: (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.