[Limdep Nlogit List] Interpretation of the alternative specific constants (alt1, alt2)
Brett Smith
brett.smith at uwa.edu.au
Thu Nov 24 18:24:40 AEDT 2022
Harold
My guess is that your variable None=1 and that has led to the model being unidentified. Or you are choices are actually labelled and caged and acdoors are your alternate specific constants.
One final comment the code has the conditional means of caged(n) ,acdoors(n),
As a function of male and female? Unidentified
All age groups? Unidentified
All incomes? Unidentified.
Include male only
Convert your age and incomes to a scale (i.e. use the mid points of the brackets)
All the best,
Brett
-----Original Message-----
From: Limdep <limdep-bounces at mailman.sydney.edu.au> On Behalf Of Harold Mayaba via Limdep
Sent: Thursday, 24 November 2022 1:53 PM
To: limdep at mailman.sydney.edu.au
Cc: Harold Mayaba <mayabach2009 at yahoo.com>
Subject: [Limdep Nlogit List] Interpretation of the alternative specific constants (alt1, alt2)
Dear Professor Greene and Nlogit users,
Please help me understand how to interpret the results for alt1, alt2, and none in the results below. Alt1 and alt2 are used as alternative-specific constants. Also, how to interpret the coefficients for Distns. of RPs. Std.Devs in a model. Thank you for your continued help.
Regards
Harold.
NLOGIT
; lhs = choice
; choices = alt1, alt2, none
;rpl = female, male, age1, age2,age3, age4, age5,inco1, inco2, inco3,inco4, inco5
;fcn= caged(n) ,acdoors(n), nprs(n|#000000000000),cert1(n|#000000000000),cert2(n|#000000000000),mmort(n|#000000000000),hmort(n|#000000000000)
;pds =10
; pts=100
;maxit=500
;describe
;pwt
;effects:caged(*)/acdoors(*)/price(*)
;full
;parameters
; halton
;effects: caged (*) / acdoors(*)/price(*)
; wtp=caged/price,acdoors/price,nprs/price ,cert2/price
,hmort/price
; model:
U(alt1) = alt1 +caged*caged+acdoors*acdoors+nprs*nprs+cert1*cert1+cert2*cert2+mmort*mmort+hmort*hmort +price*price/
U(alt2) = alt2 +caged*caged+acdoors*acdoors+nprs*nprs+cert1*cert1+cert2*cert2+mmort*mmort+hmort*hmort +price*price/
U(None) = None$
--------+--------------------------------------------------------------------
| Standard Prob. 95% Confidence
CHOICE| Coefficient Error z |z|>Z* Interval
--------+--------------------------------------------------------------------
|Randomparameters in utility functions..............................
CAGED| -3.23814*** .49400 -6.55 .0000 -4.20636 -2.26993
ACDOORS| 4.76545*** .56989 8.36 .0000 3.64849 5.88242
NPRS| -.63055** .27633 -2.28 .0225 -1.17214 -.08896
CERT1| .98566*** .26379 3.74 .0002 .46864 1.50268
CERT2| .18598 .19201 .97 .3328 -.19036 .56232
MMORT| -.41961*** .14551 -2.88 .0039 -.70480 -.13442
HMORT| -1.01844*** .18335 -5.55 .0000 -1.37780 -.65909
|Nonrandomparameters in utility functions...........................
ALT1| .45298 .8389D+07 .00 1.0000*********** ***********
PRICE| -.20525*** .01812 -11.32 .0000 -.24077 -.16972
ALT2| .37546 .8389D+07 .00 1.0000*********** ***********
NONE| -.82843 .8389D+07 .00 1.0000*********** ***********
|Distns. ofRPs. Std.Devs or limits of triangular....................
NsCAGED| 2.33247*** .17476 13.35 .0000 1.98995 2.67500
NsACDOOR| 4.41155*** .32553 13.55 .0000 3.77352 5.04958
NsNPRS| 2.00750*** .14234 14.10 .0000 1.72852 2.28648
NsCERT1| .12418 .27668 .45 .6536 -.41809 .66646
NsCERT2| .58488*** .11404 5.13 .0000 .36137 .80839
NsMMORT| .35905 .22849 1.57 .1161 -.08878 .80688
NsHMORT| .98402*** .19336 5.09 .0000 .60504 1.36301
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