Inequality restricted maximum entropy estimation using Stata
AbstractWe use Stata to obtain the linear maximum entropy estimator developed by Golan, Judge and Miller (1996). We use the STATA optimize function to illustrate maximum entropy estimation in an unrestricted linear regression model. Next, we estimate the model with parameter inequality restrictions to replicate the Monte Carlo experiments in Campbell and Hill (2006). We generate data under varying design characteristics, and estimate the parameters using maximum entropy and least squares estimation, both with and without parameter inequality restrictions.
Download InfoIf 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 InfoPaper provided by Stata Users Group in its series 2013 Stata Conference with number 20.
Date of creation: 01 Aug 2013
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-08-05 (All new papers)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Christopher F Baum).
If references are entirely missing, you can add them using this form.