Dear all,
I am running a mlogit and the results display log pseudo-likelihood. Is this
pseudo likelihood valid to be considered as log likelihood? I dont know also
why i get it.
If someone knows sth more please let me know
Iteration 38: log pseudo-likelihood = -279.53954
Multinomial logistic regression Number of obs = 580
Wald chi2(29) = .
Prob > chi2 = .
Log pseudo-likelihood = -279.53954 Pseudo R2 = 0.5613
(standard errors adjusted for clustering on nfirm)
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| Robust
y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1 |
ad1 | -37.51662 .9089146 -41.28 0.000 -39.29806 -35.73518
fyear | -.0015743 .0006776 -2.32 0.020 -.0029023 -.0002463
lowR | 1.874435 1.614458 1.16 0.246 -1.289844 5.038713
highP | -43.6426 10.97723 -3.98 0.000 -65.15757 -22.12763
g2 | -43.6846 2.637286 -16.56 0.000 -48.85358 -38.51561
g3 | -38.85334 1.774763 -21.89 0.000 -42.33181 -35.37487
g4 | 1.181308 .6933561 1.70 0.088 -.1776447 2.540261
ist5 | -38.10761 2.172556 -17.54 0.000 -42.36574 -33.84948
fat1 | .0000157 .0000173 0.91 0.365 -.0000183 .0000497
salesd | -.004202 .0013467 -3.12 0.002 -.0068416 -.0015625
salesd1 | -.0008017 .0026638 -0.30 0.763 -.0060226 .0044193
labcostde | .0721222 .0257611 2.80 0.005 .0216313 .122613
labcostd1 | -.0534325 .0290356 -1.84 0.066 -.1103413 .0034762
fixedinvd1 | .0122782 .0026275 4.67 0.000 .0071285 .0174279
fixedinvd | -.0130737 .0174097 -0.75 0.453 -.0471962 .0210487
itnnewd | .0117444 .0133326 0.88 0.378 -.0143869 .0378758
itnnewd1 | -.014293 .0136948 -1.04 0.297 -.0411342 .0125483
prodl | .2457723 .6832404 0.36 0.719 -1.093354 1.584899
prodl1 | 1.330644 .4364869 3.05 0.002 .4751451 2.186142
-------------+----------------------------------------------------------------
2 |
ad1 | .8755395 .6214718 1.41 0.159 -.3425229 2.093602
fyear | -.0004148 .0005796 -0.72 0.474 -.0015509 .0007212
lowR | 1.11624 1.114423 1.00 0.317 -1.067988 3.300468
highP | -2.502986 1.503847 -1.66 0.096 -5.450472 .4445004
g2 | -39.17466 1.784051 -21.96 0.000 -42.67134 -35.67798
g3 | -39.5983 1.227165 -32.27 0.000 -42.0035 -37.1931
g4 | .8806057 1.188551 0.74 0.459 -1.448912 3.210124
ist5 | 2.263797 1.634268 1.39 0.166 -.9393096 5.466904
fat1 | 3.37e-06 .0000198 0.17 0.865 -.0000354 .0000422
salesd | .000851 .0007809 1.09 0.276 -.0006796 .0023816
salesd1 | .0024652 .0010563 2.33 0.020 .000395 .0045355
labcostde | .0099059 .0086621 1.14 0.253 -.0070715 .0268833
labcostd1 | -.0056203 .0107423 -0.52 0.601 -.0266749 .0154342
fixedinvd1 | .0145481 .0131429 1.11 0.268 -.0112115 .0403076
fixedinvd | -.0439803 .0432097 -1.02 0.309 -.1286698 .0407091
itnnewd | .0238185 .036446 0.65 0.513 -.0476144 .0952514
itnnewd1 | -.0422155 .0375565 -1.12 0.261 -.1158248 .0313939
prodl | -1.287851 .6897262 -1.87 0.062 -2.639689 .0639877
prodl1 | -1.176519 .6449835 -1.82 0.068 -2.440663 .0876257
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(Outcome y==0 is the comparison group)
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