notes Relational Logit Models

notes Relational Logit Models - Eco 572 Research methods in...

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Eco 572: Research methods in Demography Relational Logit Models We illustrate fitting Brass's relational logit model using data from the Seychelles. Seychelles, Males, 1971-75 Here's a small dataset with the observed survival function for Seychelles males in 1971-75. We also include Brass's standard for convenience. (Alternatively, the Brass standard is available in five and single-year forms in the datasets section, so you can merge on age, see Brassrlm1 and Brassrlm5 .) . input age lx ls age lx ls 1. 1 .9641 .8499 2. 5 .9409 .7691 3. 10 .9366 .7502 4. 15 .9343 .7362 5. 20 .9227 .7130 6. 25 .9108 .6826 7. 30 .8981 .6525 8. 35 .8843 .6223 9. 40 .8655 .5898 10. 45 .8424 .5534 11. 50 .8045 .5106 12. 55 .7584 .4590 13. 60 .6967 .3965 14. 65 .6028 .3221 15. 70 .4770 .2380 16. 75 .3451 .1521 17. end We generate the Brass logits and plot observed versus standard to see if the relationship is linear . gen yx = 0.5*log( (1-lx)/lx) . gen ys = 0.5*log( (1-ls)/ls) . twoway (scatter yx ys) (lfit yx ys), name(a) /// > ytitle(observed) xtitle(standard) /// > title(Logit) legend(off) (1 of 3) [2/12/2008 10:33:33 AM]
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Eco 572: Research methods in Demography The fit is not bad at all. Here are the parameter estimates, and the fitted survival, which we plot on a second panel:
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  • Spring '06
  • Rodriguez
  • Logit, Relational Logit Models, relational logit model

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