Statalist The Stata Listserver


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

Re: st: write formatted odds ratios from fixed effects logitregression


From   Alejandro Delafuente <[email protected]>
To   [email protected]
Subject   Re: st: write formatted odds ratios from fixed effects logitregression
Date   Mon, 30 Apr 2007 16:15:03 +0100

Dear Kit, many thanks, estout has proved very useful indeed.
Alejandro
In message <[email protected]> 
[email protected] writes:
> sacrificial lamb
> 
> Forget outreg. Use estout:
> 
> 
> . use http://www.stata-press.com/data/r9/union.dta,clear
> (NLS Women 14-24 in 1968)
> 
> . xtlogit union age not_smsa grade south southXt, i(idcode) nolog or
> 
> Random-effects logistic regression              Number of obs       
> =     26200
> Group variable (i): idcode                      Number of groups    
> =      4434
> 
> Random effects u_i ~ Gaussian                   Obs per group: min  
> =         1
>                                                                 avg  
> =       5.9
>                                                                 max  
> =        12
> 
>                                                  Wald chi2(5)        
> =    228.66
> Log likelihood  = -10544.153                    Prob > chi2         
> =    0.0000
> 
> ------------------------------------------------------------------------ 
> ------
>         union |         OR   Std. Err.      z    P>|z|     [95% Conf.  
> Interval]
> ------------- 
> +----------------------------------------------------------------
>           age |    1.00943   .0044806     2.11   0.034      
> 1.000686     1.01825
>      not_smsa |   .7759767   .0636216    -3.09   0.002     . 
> 6607839    .9112507
>         grade |   1.089838   .0190694     4.92   0.000      
> 1.053096    1.127861
>         south |   .3137773   .0347854   -10.46   0.000     . 
> 2524976    .3899292
>       southXt |   1.023297   .0080063     2.94   0.003      
> 1.007724     1.03911
> ------------- 
> +----------------------------------------------------------------
>      /lnsig2u |   1.715384   .0433544                       
> 1.630411    1.800357
> ------------- 
> +----------------------------------------------------------------
>       sigma_u |   2.357713   .0511086                        
> 2.25964    2.460042
>           rho |    .628208    .010126                       . 
> 608155    .6478289
> ------------------------------------------------------------------------ 
> ------
> Likelihood-ratio test of rho=0: chibar2(01) =  6003.17 Prob >=  
> chibar2 = 0.000
> 
> . esta,eform
> 
> ----------------------------
>                        (1)
>                      union
> ----------------------------
> union
> age                 1.009*
>                     (2.11)
> 
> not_smsa            0.776**
>                    (-3.09)
> 
> grade               1.090***
>                     (4.92)
> 
> south               0.314***
>                   (-10.46)
> 
> southXt             1.023**
>                     (2.94)
> ----------------------------
> N                   26200
> ----------------------------
> Exponentiated coefficients; t statistics in parentheses
> * p<0.05, ** p<0.01, *** p<0.001
> 
> 
> 
> Kit Baum, Boston College Economics and DIW Berlin
> http://ideas.repec.org/e/pba1.html
> An Introduction to Modern Econometrics Using Stata:
> http://www.stata-press.com/books/imeus.html
> 
> 
> *
> *   For searches and help try:
> *   http://www.stata.com/support/faqs/res/findit.html
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
> 

-- 
Alejandro de la Fuente
Department of International Development/QEH
University of Oxford, Mansfield Road, Oxford OX1 3TB
Tel: 01865 281836

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



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