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

From |
Serguei Kaniovski <[email protected]> |

To |
[email protected] |

Subject |
st: Fitting a two-equation zero-inflated model in GLLAMM |

Date |
Fri, 8 May 2009 08:37:58 +0200 |

Dear Stata / GLLAMM Experts! I am trying to fit a latent variable GLS using GLLAMM. My dependent variable "dist" is bound to the interval [0, sqrt(2)], about 11 percent of observations are zeroes. The zeroes denote concordant unanimous votes between a pair of parties in a parliament. If all members of party A and all members of party B voted yes, then dist=0. (sqrt(2) appears due to a special distance function I use). I view zeroes is not qualitatively different from non-zeroes, but the inflated-zero property has to be accounted for. I thus plan to use a two-equation model, with the same set of explanatory variables but possibly a different set for each model later. The independent variables are "left_right" and "pro_eu", while "vote_id" identifies the voting occasion. I fit a level-1 GLLAMM, i.e. with random effects for each voting. Ignoring the fact that dist is bound from above by sqrt(2), I do: gen v = cond(dist==0,1,2) foreach x of varlist left_right pro_eu { gen v1_`x' = `x'*(v == 1) gen v2_`x' = `x'*(v == 2) } gllamm dist v1_* v2_*, i(vote_id) link(logit reciprocal) family(binary gamma) lv(v) fv(v) Unfortunately the above specification does not converge. Is the specification correct given what I am trying to do? That you for your help, Serguei * * 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: Backward or Forward selection of variables in cox regression** - Next by Date:
**AW: st: RE: Backward or Forward selection of variables in cox regression** - Previous by thread:
**st: addressing coefficients for residuals variance from xtmixed** - Next by thread:
**st: bootstrap test for ineqdeco comparison** - Index(es):

© Copyright 1996–2024 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |