[Limdep Nlogit List] (no subject)
Sivanandan Balakrishnan
bsivan720711 at gmail.com
Fri Apr 22 00:15:08 AEST 2022
Thank you for the reply, William
On Thu, Apr 21, 2022 at 9:58 PM William Greene <wgreene at stern.nyu.edu>
wrote:
> Sivanandan Balakrishnan.
> The results are not useable. Coefficients like that in a choice model
> indicate that there
> is something seriously wrong. You might start to find out if it is the RP
> specification by
> fitting an MNL without random parameters. Most likely, you probably have
> far too many
> random parameters in your model. A good tight specification should have
> only a small
> few RPs.
> /B. Greene
>
> On Thu, Apr 21, 2022 at 3:47 AM Sivanandan Balakrishnan <
> bsivan720711 at gmail.com> wrote:
>
> > Hi all,
> >
> > I have run a mixed logit and received the result as below. Could I know
> why
> > the result/output value for the coefficient and standard error is big?
> Can
> > we use this value?
> >
> > Random Coefficients Logit Model
> > Dependent variable INJ
> > Log likelihood function -1594.14495
> > Restricted log likelihood -1625.09752
> > Chi squared [ 26 d.f.] 61.90512
> > Significance level .00009
> > McFadden Pseudo R-squared .0190466
> > Estimation based on N = 3675, K = 52
> > Inf.Cr.AIC = 3292.3 AIC/N = .896
> > Model estimated: Apr 21, 2022, 09:22:20
> > Sample is 1 pds and 3675 individuals
> > LOGIT (Logistic) probability model
> >
> >
> --------+--------------------------------------------------------------------
> > | Standard Prob. 95% Confidence
> > SEV_INJ| Coefficient Error z |z|>Z* Interval
> >
> >
> --------+--------------------------------------------------------------------
> > |Means for random parameters
> > Constant| -33819.0*** 1378.379 -24.54 .0000 -36520.6 -31117.4
> > FEMALE| 6855.90*** 245.3723 27.94 .0000 6374.98 7336.82
> > YOUNG| 2063.63*** 186.5024 11.06 .0000 1698.09 2429.17
> > OLD| 10445.7*** 511.9553 20.40 .0000 9442.3 11449.1
> > SPEEDB| 290.380 303.9470 .96 .3394 -305.345 886.105
> > SPEEDC| 8147.07*** 274.6788 29.66 .0000 7608.71 8685.43
> > SPEEDD| 12300.9*** 247.6893 49.66 .0000 11815.5 12786.4
> > MORPEAK| -4331.12*** 269.9351 -16.05 .0000 -4860.19 -3802.06
> > NOTWOR| 13432.5*** 653.0941 20.57 .0000 12152.5 14712.5
> > NIGHT| 3017.31*** 250.1793 12.06 .0000 2526.97 3507.65
> > TRN_LFT| -10355.6*** 840.1674 -12.33 .0000 -12002.3 -8708.9
> > EJECT| 28717.5*** 672.9396 42.67 .0000 27398.6 30036.5
> > MN_RDS| -10732.7*** 1072.537 -10.01 .0000 -12834.8 -8630.5
> > FREWYS| -13659.2*** 1081.154 -12.63 .0000 -15778.2 -11540.2
> > HVY_VEH| -8961.61*** 176.2324 -50.85 .0000 -9307.02 -8616.20
> > MAJOR| 7504.13*** 320.9807 23.38 .0000 6875.02 8133.24
> > EXT_UNR| 13355.3*** 257.5061 51.86 .0000 12850.6 13860.0
> > ONE_OCC| 6235.70*** 229.4908 27.17 .0000 5785.90 6685.49
> > Y_1995| -4028.68*** 277.5451 -14.52 .0000 -4572.66 -3484.70
> > FIRE| 16646.3*** 4557.406 3.65 .0003 7713.9 25578.6
> > RGFRDOPL| 4785.69*** 170.8597 28.01 .0000 4450.82 5120.57
> > MTRCYCL| 12285.2*** 1702.179 7.22 .0000 8949.0 15621.4
> > POL_ATT| 19808.7*** 782.7466 25.31 .0000 18274.5 21342.8
> > CRO_INT| 1244.51*** 201.7431 6.17 .0000 849.10 1639.92
> > LA_5_6| 7843.43*** 325.5258 24.09 .0000 7205.42 8481.45
> > NOT_DIV| -2762.58*** 211.3672 -13.07 .0000 -3176.85 -2348.31
> > |Scale parameters for dists. of random parameters
> > Constant| 12999.4*** 161.5314 80.48 .0000 12682.8 13316.0
> > FEMALE| 26061.1*** 269.5765 96.67 .0000 25532.8 26589.5
> > YOUNG| 18428.1*** 380.2219 48.47 .0000 17682.9 19173.4
> > OLD| 21890.7*** 646.5608 33.86 .0000 20623.4 23157.9
> > SPEEDB| 18213.6*** 219.7653 82.88 .0000 17782.9 18644.3
> > SPEEDC| 2525.14*** 158.5081 15.93 .0000 2214.47 2835.81
> > SPEEDD| 12468.8*** 253.4224 49.20 .0000 11972.1 12965.5
> > MORPEAK| 7986.80*** 231.4354 34.51 .0000 7533.20 8440.41
> > NOTWOR| 11675.6*** 1015.335 11.50 .0000 9685.5 13665.6
> > NIGHT| 611.061*** 118.0811 5.17 .0000 379.626 842.496
> > TRN_LFT| 5810.00*** 2192.580 2.65 .0081 1512.62 10107.38
> > EJECT| 4890.19*** 694.3294 7.04 .0000 3529.33 6251.05
> > MN_RDS| 9007.20*** 236.0017 38.17 .0000 8544.65 9469.76
> > FREWYS| 10586.3*** 171.9844 61.55 .0000 10249.2 10923.4
> > HVY_VEH| 11451.6*** 257.8199 44.42 .0000 10946.3 11957.0
> > MAJOR| 4861.01*** 317.1533 15.33 .0000 4239.40 5482.62
> > EXT_UNR| 552.358*** 187.6679 2.94 .0032 184.535 920.180
> > ONE_OCC| 6713.97*** 205.4028 32.69 .0000 6311.39 7116.55
> > Y_1995| 10268.1*** 233.1868 44.03 .0000 9811.1 10725.2
> > FIRE| 5617.58 6884.030 .82 .4145 -7874.87 19110.03
> > RGFRDOPL| 1899.09*** 276.3930 6.87 .0000 1357.37 2440.81
> > MTRCYCL| 47743.3*** 2431.720 19.63 .0000 42977.2 52509.4
> > POL_ATT| 5481.02*** 113.8669 48.14 .0000 5257.85 5704.20
> > CRO_INT| 4243.85*** 164.7497 25.76 .0000 3920.95 4566.76
> > LA_5_6| 16291.6*** 353.2489 46.12 .0000 15599.3 16984.0
> > NOT_DIV| 12290.5*** 254.1291 48.36 .0000 11792.4 12788.5
> >
> >
> --------+--------------------------------------------------------------------
> > Note: ***, **, * ==> Significance at 1%, 5%, 10% level.
> >
> >
> -----------------------------------------------------------------------------
> >
> >
> > Best Regards,
> > .Sivanandan Balakrishnan
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>
> --
> William Greene
> Department of Economics, emeritus
> Stern School of Business, New York University
> 44 West 4 St.
> New York, NY, 10012
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--
Best Regards,
Sivanandan Balakrishnan
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