[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Jared Delisle <rjd1867@fsu.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Test of intercepts across OLS regressions |

Date |
Wed, 05 Nov 2008 22:40:52 -0500 |

I asked this question a few weeks ago, with no response. So I'll give it another try and be more explicit, since I was vague in the first post. Here goes... I have a set of regressions, let's say 10 separate regressions, all over the same time period, all with the same specification: Y(n) = a + bX, where n=1..10 (designating which vector of Y will be the dependent variables), and X is the same vector of regressors for all regressions. I am interested in testing if the intercepts, a1...a10, are jointly equal to zero. I can do this with a -sureg- and -test _cons- which gives me a Wald Chi-square statistic. I need to perform a Gibbons, Ross, & Shanken (Econometrica 1989) test, which yields an F-statistic, and is essentially (if I interpret it correctly) a Hotelling's T-squared statistic times (T-N-1)/[N(T-2)] where T is the number of time series observations and N is the number of intercepts (10 in my case). Is anyone familiar with performing such an analysis? Is there a .do file floating around that calculates this GRS F-statistic, or any suggestions on how to write one up? Thanks for your assistance, Jared * * 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/

**Follow-Ups**:**Re: st: Test of intercepts across OLS regressions***From:*Jared DeLisle <rjd1867@fsu.edu>

**st: RE: Test of intercepts across OLS regressions***From:*"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>

- Prev by Date:
**Re: st: Re: area between reference lines** - Next by Date:
**Re: st: Interpretation of regressionmodel of ln-transformed variable** - Previous by thread:
**st: area between reference lines** - Next by thread:
**st: RE: Test of intercepts across OLS regressions** - Index(es):

© Copyright 1996–2014 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |