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From | Robert A Yaffee <bob.yaffee@nyu.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: efficient method for rolling postestimation |
Date | Mon, 06 Dec 2010 08:14:45 GMT |
Daniel, You might want to try the cusum test contained in the cusum6.ado file available from ssc, or if you are using a Bai-Perron test, you might consider the cusum command within Stata. Robert Robert A. Yaffee, Ph.D. Research Professor Silver School of Social Work New York University Biosketch: http://homepages.nyu.edu/~ray1/Biosketch2009.pdf CV: http://homepages.nyu.edu/~ray1/vita.pdf ----- Original Message ----- From: Daniel.Green@ny.frb.org Date: Saturday, December 4, 2010 6:38 pm Subject: st: efficient method for rolling postestimation To: statalist@hsphsun2.harvard.edu > Hello Statalist, > > I am calculating rolling exposures of a set of several stocks' returns > to a single risk factor. In each estimation window I want to test the > hypothesis that the exposures are equal and save a relevant test > statistic along with the estimated coefficients. I can use the > rolling command on sureg to compute and save the rolling coefficients, > but what about performing the postestimation? I assume the best way > to do this is to write my own program that performs both the surreg > and the postestimation, and apply the rolling prefix to this program. > > > Is this the "correct" way to go about this type of analysis? If not, > what would you recommend? > Thanks, > > Daniel > > > > This e-mail message, including attachments, is for the sole use of the > intended recipient(s) and may contain confidential or proprietary > information. If you are not the intended recipient, immediately > contact the sender by reply e-mail and destroy all copies of the > original message. > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/