Statalist The Stata Listserver


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

st: xtlogit and constant term


From   Juan Julio Gutierrez <[email protected]>
To   [email protected]
Subject   st: xtlogit and constant term
Date   Tue, 9 Jan 2007 13:55:02 -0800 (PST)

Deal all 

I am regressing the same model w/ and w/out the intercept using "xtlogit, re" in an unbalanced
panel data. However the odds' signs change if the constant is dropped. 

Could you help me explain this?  (I am copying both outputs) 
I appreciate you help 
 
Juan Julio Gutierrez 
PhD Student
George Mason University 
School Of Public Policy

 
MODEL 1 NO CONSTANT 

. xtlogit  DO2 INDICATOR_1 INDICATOR_2 INDICATOR3r INDICATOR4 INDICATOR5 INDICATOR6 INDICATOR7
INDICATOR860 NINDICATOR5 NINDICATOR6 ratif3  NINDICATOR9IP  NINDICATOR10 if time>3, re i (project)
nocons
Fitting comparison model:
Iteration 0:   log likelihood =  -3112.924
Iteration 1:   log likelihood = -1638.9574
Iteration 2:   log likelihood = -1439.5861
Iteration 3:   log likelihood = -1409.2021
Iteration 4:   log likelihood =  -1407.888
Iteration 5:   log likelihood = -1407.8844
Fitting full model:
tau =  0.0     log likelihood = -1247.9671
tau =  0.1     log likelihood = -1200.3429
tau =  0.2     log likelihood = -1154.7556
tau =  0.3     log likelihood = -1111.6765
tau =  0.4     log likelihood = -1071.3706
tau =  0.5     log likelihood = -1034.3332
tau =  0.6     log likelihood = -1001.3773
tau =  0.7     log likelihood =  -973.9988
tau =  0.8     log likelihood = -955.79642
Iteration 0:   log likelihood = -1097.1048  
Iteration 1:   log likelihood = -1038.5596  
Iteration 2:   log likelihood = -1001.1093  
Iteration 3:   log likelihood = -999.11373  
Iteration 4:   log likelihood = -999.11102  
Iteration 5:   log likelihood = -999.11102  
Random-effects logistic regression              Number of obs      =      4491
Group variable (i): project                     Number of groups   =       727
Random effects u_i ~ Gaussian                   Obs per group: min =         1
                                                               avg =       6.2
                                                               max =        15
                                                Wald chi2(13)      =    767.98
Log likelihood  = -999.11102                    Prob > chi2        =    0.0000
------------------------------------------------------------------------------
         DO2 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 INDICATOR_1 |  -.8357329    .239958    -3.48   0.000    -1.306042   -.3654238
 INDICATOR_2 |  -.4110548   .2116675    -1.94   0.052    -.8259155     .003806
 INDICATOR3r |  -.2578675   .3267794    -0.79   0.430    -.8983434    .3826083
  INDICATOR4 |  -1.469595   .1437704   -10.22   0.000     -1.75138    -1.18781
  INDICATOR5 |   1.997214    .604792     3.30   0.001     .8118435    3.182585
  INDICATOR6 |  -3.033746   .5477888    -5.54   0.000    -4.107392     -1.9601
  INDICATOR7 |  -.8611347    .208806    -4.12   0.000    -1.270387   -.4518824
INDICATOR860 |   -1.39018   .2136582    -6.51   0.000    -1.808942   -.9714177
 NINDICATOR5 |   -.478409   .1795451    -2.66   0.008    -.8303109   -.1265072
 NINDICATOR6 |   -.651115   .5510574    -1.18   0.237    -1.731168    .4289378
      ratif3 |  -3.337644   .2498051   -13.36   0.000    -3.827253   -2.848035
NINDICATOR~P |   3.350268   .1965227    17.05   0.000     2.965091    3.735445
NINDICATOR10 |   4.86e-10   4.64e-10     1.05   0.295    -4.23e-10    1.40e-09
-------------+----------------------------------------------------------------
    /lnsig2u |   1.832401   .0796272                      1.676334    1.988467
-------------+----------------------------------------------------------------
     sigma_u |   2.499774    .099525                      2.312125    2.702652
         rho |   .6551045   .0179912                      .6190427     .689465
------------------------------------------------------------------------------
Likelihood-ratio test of rho=0: chibar2(01) =   817.55 Prob >= chibar2 = 0.000


MODEL 2 W/ CONSTANT 
. xtlogit  DO2 INDICATOR_1 INDICATOR_2 INDICATOR3r INDICATOR45 INDICATOR5 INDICATOR6 INDICATOR7
INDICATOR860 NINDICATOR5 NINDICATOR6 ratif3  NINDICATOR9IP  NINDICATOR10 if time>3, re i (project)
Fitting comparison model:
Iteration 0:   log likelihood = -1189.2225
Iteration 1:   log likelihood = -843.65744
Iteration 2:   log likelihood = -776.35165
Iteration 3:   log likelihood = -766.59039
Iteration 4:   log likelihood = -766.19648
Iteration 5:   log likelihood = -766.19547
Fitting full model:
tau =  0.0     log likelihood = -766.19547
tau =  0.1     log likelihood = -742.84168
tau =  0.2     log likelihood = -721.61453
tau =  0.3     log likelihood = -702.20943
tau =  0.4     log likelihood = -685.01682
tau =  0.5     log likelihood = -670.85859
tau =  0.6     log likelihood = -660.99182
tau =  0.7     log likelihood = -658.22243
tau =  0.8     log likelihood = -668.02088
Iteration 0:   log likelihood = -658.44381  
Iteration 1:   log likelihood = -614.32708  
Iteration 2:   log likelihood = -612.76708  
Iteration 3:   log likelihood = -612.76061  
Iteration 4:   log likelihood = -612.76061  
Random-effects logistic regression              Number of obs      =      4491
Group variable (i): project                     Number of groups   =       727
Random effects u_i ~ Gaussian                   Obs per group: min =         1
                                                               avg =       6.2
                                                               max =        15
                                                Wald chi2(13)      =    382.86
Log likelihood  = -612.76061                    Prob > chi2        =    0.0000
------------------------------------------------------------------------------
         DO2 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 INDICATOR_1 |    .754484   .2759757     2.73   0.006     .2135816    1.295386
 INDICATOR_2 |   .7503506   .2508757     2.99   0.003     .2586433    1.242058
 INDICATOR3r |   .5662597   .3459642     1.64   0.102    -.1118176    1.244337
 INDICATOR45 |   .7463463   .4448553     1.68   0.093    -.1255541    1.618247
  INDICATOR5 |   1.270672   .6709532     1.89   0.058    -.0443719    2.585716
  INDICATOR6 |  -.4390345   .5438313    -0.81   0.419    -1.504924    .6268552
  INDICATOR7 |   .0692061   .2361465     0.29   0.769    -.3936325    .5320446
INDICATOR860 |   .6912012   .2532381     2.73   0.006     .1948635    1.187539
 NINDICATOR5 |   .6963986   .2112728     3.30   0.001     .2823116    1.110486
 NINDICATOR6 |  -.4586759   .6215281    -0.74   0.461    -1.676849    .7594968
      ratif3 |   .2452439   .2917346     0.84   0.401    -.3265454    .8170331
NINDICATOR~P |   4.428921   .2416649    18.33   0.000     3.955266    4.902575
NINDICATOR10 |   2.24e-10   5.46e-10     0.41   0.682    -8.46e-10    1.29e-09
       _cons |  -7.131021   .3294699   -21.64   0.000     -7.77677   -6.485272
-------------+----------------------------------------------------------------
    /lnsig2u |   1.420105   .1020098                      1.220169     1.62004
-------------+----------------------------------------------------------------
     sigma_u |   2.034098   .1037489                      1.840587    2.247953
         rho |   .5570646   .0251703                      .5073299    .6056809
------------------------------------------------------------------------------
Likelihood-ratio test of rho=0: chibar2(01) =   306.87 Prob >= chibar2 = 0.000



__________________________________________________
Do You Yahoo!?
Tired of spam?  Yahoo! Mail has the best spam protection around 
http://mail.yahoo.com 
*
*   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