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From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: rcal, measurement error model question |

Date |
Thu, 11 Dec 2008 15:03:48 -0500 |

Richard Valliant <rvalliant@survey.umd.edu>: Maybe you want: rcal (e1=) (w: e2), suuinit(D) (i.e. leave out only the x not the =x)? See also http://www.stata-journal.com/sjpdf.html?articlenum=st0050 On Thu, Dec 11, 2008 at 11:07 AM, Richard Valliant <rvalliant@survey.umd.edu> wrote: > I'm a new user who is trying to fit a simple measurement error model to > a set of estimates from two independent surveys. The surveys are > measuring the same things. My data look like > > (e1, v1) = set of 30 estimates and their variances from survey 1 > (e2, v2) = set of 30 estimates and their variances from survey 2 > > The model I want to fit is basic: > e1 = a + b*e2 + u1 > e2 = E2 + u2 (u1 and u2 are the model errors, E2 is E(e2) ) > > I've tried: > mkmat v2 > mat D = diag(v2) > rcal (e1) (w: e2), suuinit(D) > > This gives "invalid syntax". If I put some arbitrary variable x in the > model (which I don't want), this works: > rcal (e1=x) (w: e2), suuinit(D) > > But rcal apparently does not allow aweights to account for v1 = > var(e1). > Is there a way to use rcal or some other procedure to fit the model > above, accounting for the fact that I have (1) estimates of variance for > both e1 and e2 and (2) no covariates measured without error to put in > the model? * * 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: rcal, measurement error model question***From:*"Austin Nichols" <austinnichols@gmail.com>

**References**:**st: rcal, measurement error model question***From:*Richard Valliant <rvalliant@survey.umd.edu>

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