Estimating double-hurdle models with dependent errors and heteroskedasticity
Abstract
This paper describes the estimation of the parameters of a double-hurdle model in Stata. It is shown that the independent double-hurdle model can be estimated using a combination of existing commands. Likelihood evaluators to be used with Stata’s ml facilities are derived to illustrate how to fit independent and dependent inverse hyperbolic sine double-hurdle models with heteroskedasticity.Download Info
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.Bibliographic Info
Paper provided by Stata Users Group in its series German Stata Users' Group Meetings 2007 with number 05.Length:
Date of creation: 11 Apr 2007
Date of revision:
Handle: RePEc:boc:dsug07:05
Contact details of provider:
Web page: http://www.stata.com/meeting/5german
More information through EDIRC
Related research
Keywords:This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-04-28 (All new papers)
References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Harris, James Michael & Blank, Steven C. & Erickson, Kenneth W. & Hallahan, Charles B., 2010. "Off-farm Income and Investments in Farm Assets: A Double Hurdle Approach," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61531, Agricultural and Applied Economics Association.
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:boc:dsug07:05For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (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.

