[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"L S" <lts40301@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: How can I do a weighted logit? |

Date |
Wed, 30 Jul 2008 23:00:48 -0700 |

Hello, Thank you for your responses. I think that I want to use aweights. Perhaps I am mistaken, but aren't aweights the usual weights used for weighted least squares (WLS) regression, whereas pweights are usually used on surveys that over or undersample certain right-hand side variables? I need to use aweights here because the data is not a random sample. Instead, the data oversamples y=0 observations and undersamples y=1 observations, a similar issue related to the confidence example in psychology mentioned by jverkuilen. The GLM procedure with link(logit) gives the same answer once the family(binomial) option is specified. Xie and Manski "The Logit Model and Response-Based Samples" (1989) report that when uses a response-based sample (non-random; drawn according to left-hand side variable), and applies weights that vary with the left-hand side variable, all the estimates under the weighted and unweighted logit should be the same except for the intercept term. As seen in the example below, the coefficient on 'mpg' is not the same before and after weights have been applied (one can use logit or glm; the difference which isn't suppose to be there is between weighted and unweighted for each case): sysuse auto, clear version 9.0 gen wt=. replace wt=1 if foreign==1 replace wt=.1 if foreign==0 logit foreign mpg logit foreign mpg [aw=wt] glm foreign mpg, link(logit) family(binomial) glm foreign mpg [aw=wt], link(logit) family(binomial) I do not think this is an issue in interpretability. Might this indicate some problem with the likelihood estimation? Thank you. >>Yes I can think of a number of similar problems in psychology, where a weight was desired for a binary outcome but not one based on a count/total. For instance, one might have a weight or confidence rating of some sort elicited from a subject who had to make a binary choice first, e.g.,: Based on some criteria, Choose between option A or option B (record binary outcome) How confident were you in your decision? (record confidence score). * * 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/

- Prev by Date:
**RE: st: RE: st: Monte Carlo simulations** - Next by Date:
**st: Yahoo! Auto Response** - Previous by thread:
**RE: st: How can I do a weighted logit?** - Next by thread:
**st: Cox Model Collinearity** - Index(es):

© Copyright 1996–2015 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |