"Lasso-Quantile Regression and its Application to a Non-life Insurance Problem"(in Japanese)
AbstractWe summarize the recent developments on the statistical method of Lasso-Quantile Regression and we apply it to a Non-life Insurance problem. We discuss the asymptotic properties of the Quantile Regression estimator, the computational aspects related to the Linear Programming problem and the selection of Quantile regressors. We illustrate the practical aspects of measuring risk factors by using a Non-life insurance data.
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 CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE J-Series with number CIRJE-J-203.
Length: 36 pages
Date of creation: Aug 2008
Date of revision:
Contact details of provider:
Postal: Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033
Web page: http://www.cirje.e.u-tokyo.ac.jp/index.html
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-09-13 (All new papers)
- NEP-ECM-2008-09-13 (Econometrics)
- NEP-IAS-2008-09-13 (Insurance Economics)
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: (CIRJE administrative office).
If references are entirely missing, you can add them using this form.