Treatment Effect Stochastic Frontier Models with Endogenous Selection
AbstractGovernment policies are frequently used throughout the world to promote productivity. While some of the policies are designed to work through technology enhancement, others are meant to exert the influence through effciency improvement. It is therefore important to have a program evaluation method that can distinguish the channels of effects. We propose a treatment e ect stochastic frontier model for this purpose. One of the important feature of the model is that the participation in the treatment is endogenous. We illustrate the empirical application of the model using the data of large dams in India to study the e ects on the agricultural production.
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 Institute of Economics, Academia Sinica, Taipei, Taiwan in its series IEAS Working Paper : academic research with number 14-A006.
Length: 21 pages
Date of creation: Apr 2014
Date of revision:
Contact details of provider:
Web page: http://www.econ.sinica.edu.tw/index.php?foreLang=en
More information through EDIRC
stochastic frontier models; treatment effect;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-04-11 (All new papers)
- NEP-ECM-2014-04-11 (Econometrics)
- NEP-EFF-2014-04-11 (Efficiency & Productivity)
- NEP-GER-2014-04-11 (German 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: (HsiaoyunLiu).
If references are entirely missing, you can add them using this form.