[Limdep Nlogit List] Nlogit error 1085

SADIA AFROZA safroza at deakin.edu.au
Wed Nov 16 14:21:24 AEDT 2022 

Dear Professor Greene,

Thanks a lot for your reply. This answers a lot of my questions. I'll restructure the data and try to run with the fewer alternatives and random coefficients as you suggested. 

Have a nice day.

Thanks and Regards
Sadia 

-----Original Message-----
From: Limdep <limdep-bounces at mailman.sydney.edu.au> On Behalf Of William Greene via Limdep
Sent: Wednesday, 16 November 2022 2:12 PM
To: Limdep and Nlogit Mailing List <limdep at mailman.sydney.edu.au>
Cc: William Greene <wgreene at stern.nyu.edu>
Subject: Re: [Limdep Nlogit List] Nlogit error 1085

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+ 
> dca3+ 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+ 
> d8dca5+ 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
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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 _______________________________________________
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