EconPapers    
Economics at your fingertips  
 

Estimation methods in the presence of corner solutions

Alfonso Sánchez-Peñalver

Stata Journal, 2019, vol. 19, issue 1, 87-111

Abstract: In this article, I introduce a new command, nehurdle, that collects maximum likelihood estimators for linear, exponential, homoskedastic, and het- eroskedastic tobit; truncated hurdle; and type II tobit models that involve ex- plained variables with corner solutions. I review what a corner solution is as well as the assumptions of the mentioned models.

Keywords: nehurdle; two-part; truncated hurdle; tobit; heckman; type II tobit; corner solutions; hurdle estimation (search for similar items in EconPapers)
Date: 2019
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-1/st0550/
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1177/1536867X19830893

Related works:
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:tsj:stataj:v:19:y:2019:i:1:p:87-111

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X19830893

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().

 
Page updated 2025-03-31
Handle: RePEc:tsj:stataj:v:19:y:2019:i:1:p:87-111