[Limdep Nlogit List] Nlogit error 1085

Wed Nov 16 14:11:38 AEDT 2022

Sadia: Your model is far, far too large.  First, with four alternatives,
you can only have three
sets of unique coefficients.  Your model is not estimable.  Second, the
huge number of random
coefficients is far too many.  A well designed RPLogit model will have
only a small handful of
carefully placed random parameters.  It will be impossible to fit your
model with 40 RPs.  There
is actually a program limit of 25, but 5 would be more reasonable.
Finally, your error 1085 is happening because you did
not separate your utility functions with slashes.  you should have
;Model: U(0) = ... / U(1) =... etc.
/B. Greene

On Tue, Nov 15, 2022 at 4:54 PM SADIA AFROZA via Limdep <
limdep at mailman.sydney.edu.au> wrote:

> Dear Professor Greene and Nlogit users,
>
>
>
> I am new to Nlogit and trying to run a RPL model. I am getting the error
> 1085 for several variables. Have tried removing the variables stated but
> the same error appears with consecutive variables. I have crosschecked the
> data set and codes and the variable names are the same. The model was
> running fine with fewer variables and similar commands. Can you please
> suggest how to handle this error 1085?
>
>
>
> The error messages are:
>
> Error   1085: Unidentified name found in VEH_TYP1
>
> Error   1085: Unidentified name found in NOTSTATDU(1)=B0
>
> Error   1085: Unidentified name found in UNEMPLOYU(1)=B0
>
> Error   1085: Unidentified name found in WKDAYU(1)=B0
>
>
>
> My commands are:
>
> SAMPLE;All$
> NLOGIT
> ;Lhs=sev
> ;Choices=0,1,2,3
> ;Halton
> ;RPL
> ;Pts=10
> ;Fcn=
>
> a1(n),a2(n),a3(n),a4(n),a5(n),a6(n),a7(n),a8(n),a9(n),b1(n),b2(n),b3(n),b4(n),b5(n),b6(n),b7(n),b8(n),b9(n),c1(n),c2(n),c3(n),
>
> c4(n),c5(n),c6(n),c7(n),c8(n),c9(n),d1(n),d2(n),d3(n),d4(n),d5(n),d6(n),d7(n),d8(n),d9(n)
> ;Model:U(0)= a0+ a1*time1+ a2*time2+ a3*time4+ a4*time5+ a5*dca2+ a6*
> dca3+ a7*dca4+ a8dca5+ a9*dca6+ a10*pvmt1+ a11*pvmt3+ a12*pvmt4+ a13*pvmt5+
> a14(n)*pvmt6+ a15*pvmt7+ a16*pvmt8+ a17*pvmt9+ a18*pvmt10+ a19*ped_gen+
> a20*dri_gen2+ a21* dri_gen3+ a22* dri_gen4+ a23*ped_age1+ a24*ped_age2+
> a25*ped_age4+ a26*ped_age5+ a27* ped_age6+ a28*dri_age1+ a29*dri_age2+
> a30* dri_age3+ a31* dri_age5+ a32*season1+ a33*season2+ a34*season3+
> a35*light2+
> a36*light3+ a37*light4+ a38*light5+ a39*atmc2+ a40*atmc3+ a41*glare1+
> a42*glare2+ a43*int_typ+ a44*spd1+ a45*spd2+ a46*spd4+ a47*spd5+ a48*surfc+
> a49*paved_rd+ a50*trafc2+ a51*trafc3+ a52*trafc4+ a53*trafc5+ a54*crswk_l+
> a55*lanenum1+ a56*lanenum3+ a57*lanenum4+ a58*lane_w+ a59*crswk_w2+
> a60*crswk_w3+ a61*divrd1+ a62*divrd2+ a63*divrd4+ a64*divrd5+ a65* sidewk+
> a66* parking+ a67*tramln+ a68*bikeln+ a69*busln+ a70*slipln+ a71*shops+
> a72*refarea+ a73*curvd_rd+ a74*aadt1+ a75*aadt2+ a76*aadt4+ a77*aadt5+
> a78*aadt6+ a79*veh_typ1+ a80*veh_typ2+ a81*veh_typ4+ a82*veh_typ5+
> a83*landuse2+
> a84*landuse3+ a85*landuse4+ a86*avg_inc+ a87*avg_age+ a88*indig+
> a89*gen_rat+ a90*by_train+ a91*by_bus+ a92*by_car+ a93*by_mc+ a94*by_bike+
> a95*by_walk+
> a96*by_multi+ a97*other+ a98*notstatd+ a99*unemploy+ a100*wkday
>
> U(1)= b0+ b1*time1+ b2*time2+ b3*time4+ b4*time5+ b5*dca2+ b6* dca3+
> b7*dca4+ b8dca5+ b9*dca6+ b10*pvmt1+ b11*pvmt3+ b12*pvmt4+ b13*pvmt5+
> b14(n)*pvmt6+
> b15*pvmt7+ b16*pvmt8+ b17*pvmt9+ b18*pvmt10+ b19*ped_gen+ b20*dri_gen2+
> b21* dri_gen3+ b22* dri_gen4+ b23*ped_age1+ b24*ped_age2+ b25*ped_age4+
> b26*ped_age5+ b27* ped_age6+ b28*dri_age1+ b29*dri_age2+ b30* dri_age3+
> b31* dri_age5+ b32*season1+ b33*season2+ b34*season3+ b35*light2+
> b36*light3+
> b37*light4+ b38*light5+ b39*atmc2+ b40*atmc3+ b41*glare1+ b42*glare2+
> b43*int_typ+ b44*spd1+ b45*spd2+ b46*spd4+ b47*spd5+ b48*surfc+
> b49*paved_rd+
> b50*trafc2+ b51*trafc3+ b52*trafc4+ b53*trafc5+ b54*crswk_l+ b55*lanenum1+
> b56*lanenum3+ b57*lanenum4+ b58*lane_w+ b59*crswk_w2+ b60*crswk_w3+
> b61*divrd1+
> b62*divrd2+ b63*divrd4+ b64*divrd5+ b65* sidewk+ b66* parking+ b67*tramln+
> b68*bikeln+ b69*busln+ b70*slipln+ b71*shops+ b72*refarea+ b73*curvd_rd+
> b74*aadt1+ b75*aadt2+ b76*aadt4+ b77*aadt5+ b78*aadt6+ b79*veh_typ1+
> b80*veh_typ2+ b81*veh_typ4+ b82*veh_typ5+ b83*landuse2+ b84*landuse3+
> b85*landuse4+
> b86*avg_inc+ b87*avg_age+ b88*indig+ b89*gen_rat+ b90*by_train+
> b91*by_bus+ b92*by_car+ b93*by_mc+ b94*by_bike+ b95*by_walk+ b96*by_multi+
> b97*other+
> b98*notstatd+ b99*unemploy+ b100*wkday
>
> U(2)= c0+ c1*time1+ c2*time2+ c3*time4+ c4*time5+ c5*dca2+ c6* dca3+
> c7*dca4+ c8dca5+ c9*dca6+ c10*pvmt1+ c11*pvmt3+ c12*pvmt4+ c13*pvmt5+
> c14(n)*pvmt6+ c15*pvmt7+ c16*pvmt8+ c17*pvmt9+ c18*pvmt10+ c19*ped_gen+
> c20*dri_gen2+ c21* dri_gen3+ c22* dri_gen4+ c23*ped_age1+ c24*ped_age2+
> c25*ped_age4+ c26*ped_age5+ c27* ped_age6+ c28*dri_age1+ c29*dri_age2+
> c30* dri_age3+ c31* dri_age5+ c32*season1+ c33*season2+ c34*season3+
> c35*light2+ c36*light3+ c37*light4+ c38*light5+ c39*atmc2+ c40*atmc3+
> c41*glare1+ c42*glare2+ c43*int_typ+ c44*spd1+ c45*spd2+ c46*spd4+ c47*spd5+
> c48*surfc+ c49*paved_rd+ c50*trafc2+ c51*trafc3+ c52*trafc4+ c53*trafc5+
> c54*crswk_l+ c55*lanenum1+ c56*lanenum3+ c57*lanenum4+ c58*lane_w+
> c59*crswk_w2+ c60*crswk_w3+ c61*divrd1+ c62*divrd2+ c63*divrd4+
> c64*divrd5+ c65* sidewk+ c66* parking+ c67*tramln+ c68*bikeln+ c69*busln+
> c70*slipln+
> c71*shops+ c72*refarea+ c73*curvd_rd+ c74*aadt1+ c75*aadt2+ c76*aadt4+
> c77*aadt5+ c78*aadt6+ c79*veh_typ1+ c80*veh_typ2+ c81*veh_typ4+
> c82*veh_typ5+
> c83*landuse2+ c84*landuse3+ c85*landuse4+ c86*avg_inc+ c87*avg_age+
> c88*indig+ c89*gen_rat+ c90*by_train+ c91*by_bus+ c92*by_car+ c93*by_mc+
> c94*by_bike+ c95*by_walk+ c96*by_multi+ c97*other+ c98*notstatd+
> c99*unemploy+ c100*wkday
>
> U(3)= d1*time1+ d2*time2+ d3*time4+ d4*time5+ d5*dca2+ d6* dca3+ d7*dca4+
> d8dca5+ d9*dca6+ d10*pvmt1+ d11*pvmt3+ d12*pvmt4+ d13*pvmt5+ d14(n)*pvmt6+
> d15*pvmt7+ d16*pvmt8+ d17*pvmt9+ d18*pvmt10+ d19*ped_gen+ d20*dri_gen2+
> d21* dri_gen3+ d22* dri_gen4+ d23*ped_age1+ d24*ped_age2+ d25*ped_age4+
> d26*ped_age5+ d27* ped_age6+ d28*dri_age1+ d29*dri_age2+ d30* dri_age3+
> d31* dri_age5+ d32*season1+ d33*season2+ d34*season3+ d35*light2+
> d36*light3+
> d37*light4+ d38*light5+ d39*atmc2+ d40*atmc3+ d41*glare1+ d42*glare2+
> d43*int_typ+ d44*spd1+ d45*spd2+ d46*spd4+ d47*spd5+ d48*surfc+
> d49*paved_rd+
> d50*trafc2+ d51*trafc3+ d52*trafc4+ d53*trafc5+  d54*lanenum1+
> d55*lanenum3+ d56*lanenum4+ d57*lane_w+ d58*crswk_w2+ d59*crswk_w3+
> d60*divrd1+
> d61*divrd2+ d62*divrd4+ d63*divrd5+ d64* sidewk+ d65* parking+ d66*tramln+
> d67*bikeln+ d68*busln+ d69*slipln+ d70*shops+ d71*refarea+ d72*curvd_rd+
> d73*aadt1+ d74*aadt2+ d75*aadt4+ d76*aadt5+ d77*aadt6+ d78*veh_typ1+
> d79*veh_typ2+ d80*veh_typ4+ d81*veh_typ5+ d82*landuse2+ d83*landuse3+
> d84*landuse4+ d85*wkday$
>
>
>
>
>
>
> Thanks and Regards
>
> Sadia
>
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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
URL: https://protect-au.mimecast.com/s/f24eCQnMBZf6ZVzrZhPrmmW?domain=people.stern.nyu.edu
Email: wgreene at stern.nyu.edu
Editor in Chief: Foundations and Trends in Econometrics
Associate Editor: Economics Letters
Associate Editor: Journal of Business and Economic Statistics