[Limdep Nlogit List] MNL in WTP space
Thao Thai
Thao.T.Thai at monash.edu
Thu May 6 20:03:59 AEST 2021
Dear Nlogit users,
I am estimating a MNL in WTP-space using the GMXL command in Nlogit
(1) If I specify all of my 20 coefficients as constant, the model does not
work. I specified ;tau = [0] as I think it would result in an MNL without
scale.
;fcn= hos(c), pri(c), ind(c), gov(c), non(c), rlh1(c), rlh2(c), fl(c),
cr1(c), cr2(c), lo1(c), sa(*c), rlc1(c), rlc2(c), lo2(c), rlp1(c), rli1(c),
rli2(c), rlg1(c), rln1(c)
*;tau = [0]*
(2) If I specify some of my variables as non-random (which means I do not
specify them in ;fcn), the model works. However, the non-random variables
have coefficients in preference space (which means their coefficients are
the same as those in MNL model in preference space)
;fcn= rlh1(c), rlh2(c), fl(c), cr1(c), cr2(c), lo1(c), sa(*c), rlc1(c),
rlc2(c), lo2(c), rlp1(c), rli1(c), rli2(c), rlg1(c), rln1(c)
*;tau = [0]*
(3) When I used the same specification as in (2) but with ;gamma = [0],
Nlogit reports "Error 805: Initial iterations cannot improve
function.Status=3"
;fcn= rlh1(c), rlh2(c), fl(c), cr1(c), cr2(c), lo1(c), sa(*c), rlc1(c),
rlc2(c), lo2(c), rlp1(c), rli1(c), rli2(c), rlg1(c), rln1(c)
*;gamma = [0]*
My questions are:
1. Why does Nlogit produce coefficients in preference space for non-random
variables? Are there any ways to get an MNL in WTP space for all
coefficients in Nlogit ?
2. Please advise why the model with ;gamma = [0] can not run?
My detailed syntax is below.
Any suggestions you can share would be much appreciated. Thank you!
Best regards,
Thao
*(1) This did not work: *
|-> CALC ; Ran(29531928) $
|-> sample;all$
|-> reject;ALLCHO#30$
|-> reject;FCPC=1$
|-> GMXlogit;userp
;lhs = cho, cset, alts
;choices = a,b,c,d,e,f
;checkdata
;fcn= hos(c), pri(c), ind(c), gov(c), non(c), rlh1(c), rlh2(c), fl(c),
cr1(c), cr2(c), lo1(c), sa(*c), rlc1(c), rlc2(c), lo2(c), rlp1(c), rli1(c),
rli2(c), rlg1(c), rln1(c)
;pts=100
;pds=3
;halton
;maxit=300
;gmx
;par
;tau= [0]
;model:
U(a) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(b) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(c) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(d) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(e) =hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(f) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
$
+----------------------------------------------------------+
| Inspecting the data set before estimation. |
| These errors mark observations which will be skipped. |
| Row Individual = 1st row then group number of data block |
+----------------------------------------------------------+
No bad observations were found in the sample
Iterative procedure has converged
Normal exit: 5 iterations. Status=0, F= .3903337D+04
-----------------------------------------------------------------------------
Start values obtained using MNL model
Dependent variable Choice
Log likelihood function -3903.33652
Estimation based on N = 2370, K = 20
Inf.Cr.AIC = 7846.7 AIC/N = 3.311
---------------------------------------
Log likelihood R-sqrd R2Adj
ASCs only model must be fit separately
Use NLOGIT ;...;RHS=ONE$
Note: R-sqrd = 1 - logL/Logl(constants)
Warning: Model does not contain a full
set of ASCs. R-sqrd is problematic. Use
model setup with ;RHS=one to get LogL0.
---------------------------------------
Response data are given as ind. choices
Number of obs.= 2370, skipped 0 obs
--------+--------------------------------------------------------------------
| Standard Prob. 95% Confidence
CHO| Coefficient Error z |z|>Z* Interval
--------+--------------------------------------------------------------------
HOS| .11397 .14452 .79 .4303 -.16929 .39722
PRI| .34043*** .12631 2.70 .0070 .09286 .58800
IND| -.94307*** .16462 -5.73 .0000 -1.26571 -.62042
GOV| .08533 .13264 .64 .5200 -.17464 .34529
NON| -.08990 .14032 -.64 .5217 -.36492 .18512
RLH1| .08068 .15904 .51 .6119 -.23102 .39239
RLH2| .19219 .13233 1.45 .1464 -.06717 .45155
FL| .20004*** .05424 3.69 .0002 .09373 .30634
CR1| .43243*** .05697 7.59 .0000 .32077 .54410
CR2| .15373* .08971 1.71 .0866 -.02210 .32957
LO1| -.56437*** .05770 -9.78 .0000 -.67746 -.45129
SA| .01263*** .00080 15.86 .0000 .01107 .01419
RLC1| .39288** .16670 2.36 .0184 .06614 .71961
RLC2| .30506** .15166 2.01 .0443 .00781 .60231
LO2| -.86848*** .08495 -10.22 .0000 -1.03499 -.70198
RLP1| -.01482 .12190 -.12 .9033 -.25373 .22410
RLI1| .65116*** .14499 4.49 .0000 .36699 .93534
RLI2| .77620*** .15085 5.15 .0000 .48054 1.07187
RLG1| -.34006*** .12687 -2.68 .0074 -.58873 -.09140
RLN1| -.08453 .13534 -.62 .5322 -.34980 .18073
--------+--------------------------------------------------------------------
***, **, * ==> Significance at 1%, 5%, 10% level.
Model was estimated on May 06, 2021 at 03:04:54 PM
-----------------------------------------------------------------------------
Error 805: Initial iterations cannot improve function.Status=3
Function value was .4246469942D+04 at entry -----------
.2835448956D+05 at exit -----------
Error 1025: Failed to fit model. See earlier diagnostic.
*(2) This syntax worked and its results *
|-> CALC ; Ran(29531928) $
|-> sample;all$
|-> reject;ALLCHO#30$
|-> reject;FCPC=1$
|-> GMXlogit;userp
;lhs = cho, cset, alts
;choices = a,b,c,d,e,f
;checkdata
;fcn= rlh1(c), rlh2(c), fl(c), cr1(c), cr2(c), lo1(c), sa(*c), rlc1(c),
rlc2(c), lo2(c), rlp1(c), rli1(c), rli2(c), rlg1(c), rln1(c)
;pts=100
;pds=3
;halton
;maxit=300
;gmx
;par
;tau= [0]
;model:
U(a) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(b) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(c) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(d) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(e) =hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
/
U(f) = hos*HOS + pri*PRI + ind*IND + gov*GOV + non*NON
+ rlh1 * RL_H1 + rlh2 * RL_H2
+ fl * FL_H
+ cr1 * CR_H1 + cr2 * CR_H2
+ lo1 * LO_H1
+ sa * SA_H
+ rlc1 * RL_C1 + rlc2 * RL_C2
+ fl * FL_C
+ cr1 * CR_C1 + cr2 * CR_C2
+ lo1 * LO_C1 + lo2 * LO_C2
+ sa * SA_C
+ rlp1 * RL_P1
+ fl * FL_P
+ cr1 * CR_P1 + cr2 * CR_P2
+ lo1 * LO_P1 + lo2 * LO_P2
+ sa * SA_P
+ rli1 * RL_I1 + rli2 * RL_I2
+ fl * FL_I
+ cr1 * CR_I1
+ lo1 * LO_I1
+ sa * SA_I
+ rlg1 * RL_G1
+ fl * FL_G
+ cr1 * CR_G1
+ lo1 * LO_G1
+ sa * SA_G
+ rln1 * RL_N1
+ fl * FL_N
+ cr1 * CR_N1
+ lo1 * LO_N1 + lo2 * LO_N2
+ sa * SA_N
$
+----------------------------------------------------------+
| Inspecting the data set before estimation. |
| These errors mark observations which will be skipped. |
| Row Individual = 1st row then group number of data block |
+----------------------------------------------------------+
No bad observations were found in the sample
Iterative procedure has converged
Normal exit: 5 iterations. Status=0, F= .3903337D+04
-----------------------------------------------------------------------------
Start values obtained using MNL model
Dependent variable Choice
Log likelihood function -3903.33652
Estimation based on N = 2370, K = 20
Inf.Cr.AIC = 7846.7 AIC/N = 3.311
---------------------------------------
Log likelihood R-sqrd R2Adj
ASCs only model must be fit separately
Use NLOGIT ;...;RHS=ONE$
Note: R-sqrd = 1 - logL/Logl(constants)
Warning: Model does not contain a full
set of ASCs. R-sqrd is problematic. Use
model setup with ;RHS=one to get LogL0.
---------------------------------------
Response data are given as ind. choices
Number of obs.= 2370, skipped 0 obs
--------+--------------------------------------------------------------------
| Standard Prob. 95% Confidence
CHO| Coefficient Error z |z|>Z* Interval
--------+--------------------------------------------------------------------
RLH1| .08068 .15904 .51 .6119 -.23102 .39239
RLH2| .19219 .13233 1.45 .1464 -.06717 .45155
FL| .20004*** .05424 3.69 .0002 .09373 .30634
CR1| .43243*** .05697 7.59 .0000 .32077 .54410
CR2| .15373* .08971 1.71 .0866 -.02210 .32957
LO1| -.56437*** .05770 -9.78 .0000 -.67746 -.45129
SA| .01263*** .00080 15.86 .0000 .01107 .01419
RLC1| .39288** .16670 2.36 .0184 .06614 .71961
RLC2| .30506** .15166 2.01 .0443 .00781 .60231
LO2| -.86848*** .08495 -10.22 .0000 -1.03499 -.70198
RLP1| -.01482 .12190 -.12 .9033 -.25373 .22410
RLI1| .65116*** .14499 4.49 .0000 .36699 .93534
RLI2| .77620*** .15085 5.15 .0000 .48054 1.07187
RLG1| -.34006*** .12687 -2.68 .0074 -.58873 -.09140
RLN1| -.08453 .13534 -.62 .5322 -.34980 .18073
HOS| .11397 .14452 .79 .4303 -.16929 .39722
PRI| .34043*** .12631 2.70 .0070 .09286 .58800
IND| -.94307*** .16462 -5.73 .0000 -1.26571 -.62042
GOV| .08533 .13264 .64 .5200 -.17464 .34529
NON| -.08990 .14032 -.64 .5217 -.36492 .18512
--------+--------------------------------------------------------------------
***, **, * ==> Significance at 1%, 5%, 10% level.
Model was estimated on May 06, 2021 at 02:26:45 PM
-----------------------------------------------------------------------------
Iterative procedure has converged
Normal exit: 48 iterations. Status=0, F= .3903337D+04
-----------------------------------------------------------------------------
Generalized Mixed (RP) Logit Model
Dependent variable CHO
Log likelihood function -3903.33652
Restricted log likelihood -4246.46994
Chi squared [ 20](P= .000) 686.26684
Significance level .00000
McFadden Pseudo R-squared .0808044
Estimation based on N = 2370, K = 20
Inf.Cr.AIC = 7846.7 AIC/N = 3.311
---------------------------------------
Log likelihood R-sqrd R2Adj
No coefficients -4246.4699 .0808 .0793
Constants only can be computed directly
Use NLOGIT ;...;RHS=ONE$
At start values ********** .6987 .6982
Note: R-sqrd = 1 - logL/Logl(constants)
Warning: Model does not contain a full
set of ASCs. R-sqrd is problematic. Use
model setup with ;RHS=one to get LogL0.
---------------------------------------
Response data are given as ind. choices
Replications for simulated probs. = 100
Used Halton sequences in simulations.
RPL model with panel has 790 groups
Fixed number of obsrvs./group= 3
Number of obs.= 2370, skipped 0 obs
--------+--------------------------------------------------------------------
| Standard Prob. 95% Confidence
CHO| Coefficient Error z |z|>Z* Interval
--------+--------------------------------------------------------------------
|Random parameters in utility
functions..............................
RLH1| 6.38639 12.59107 .51 .6120 -18.29166 31.06444
RLH2| 15.2124 10.50848 1.45 .1477 -5.3839 35.8086
FL| 15.8337*** 4.24480 3.73 .0002 7.5141 24.1534
CR1| 34.2284*** 4.99186 6.86 .0000 24.4446 44.0123
CR2| 12.1685* 7.13125 1.71 .0879 -1.8085 26.1455
LO1| -44.6720*** 5.35949 -8.34 .0000 -55.1764 -34.1676
SA| 1.0 .....(Fixed Parameter).....
RLC1| 31.0976** 13.94301 2.23 .0257 3.7698 58.4254
RLC2| 24.1465* 12.37301 1.95 .0510 -.1042 48.3971
LO2| -68.7436*** 8.40285 -8.18 .0000 -85.2129 -52.2744
RLP1| -1.17281 9.63099 -.12 .9031 -20.04920 17.70357
RLI1| 51.5419*** 11.86105 4.35 .0000 28.2946 74.7891
RLI2| 61.4391*** 11.65835 5.27 .0000 38.5891 84.2890
RLG1| -26.9173*** 9.86829 -2.73 .0064 -46.2588 -7.5758
RLN1| -6.69115 10.70810 -.62 .5321 -27.67865 14.29634
|Nonrandom parameters in utility
functions...........................
HOS| .11397 .14452 .79 .4303 -.16929 .39722
PRI| .34043*** .12631 2.70 .0070 .09286 .58800
IND| -.94307*** .16462 -5.73 .0000 -1.26571 -.62042
GOV| .08533 .13264 .64 .5200 -.17464 .34529
NON| -.08990 .14032 -.64 .5217 -.36492 .18512
|Distns. of RPs. Std.Devs or limits of
triangular....................
CsRLH1| 0.0 .....(Fixed Parameter).....
CsRLH2| 0.0 .....(Fixed Parameter).....
CsFL| 0.0 .....(Fixed Parameter).....
CsCR1| 0.0 .....(Fixed Parameter).....
CsCR2| 0.0 .....(Fixed Parameter).....
CsLO1| 0.0 .....(Fixed Parameter).....
CsSA| 0.0 .....(Fixed Parameter).....
CsRLC1| 0.0 .....(Fixed Parameter).....
CsRLC2| 0.0 .....(Fixed Parameter).....
CsLO2| 0.0 .....(Fixed Parameter).....
CsRLP1| 0.0 .....(Fixed Parameter).....
CsRLI1| 0.0 .....(Fixed Parameter).....
CsRLI2| 0.0 .....(Fixed Parameter).....
CsRLG1| 0.0 .....(Fixed Parameter).....
CsRLN1| 0.0 .....(Fixed Parameter).....
|Variance parameter tau in GMX scale
parameter.......................
TauScale| 0.0 .....(Fixed Parameter).....
|Weighting parameter gamma in GMX
model..............................
GammaMXL| 0.0 .....(Fixed Parameter).....
|Coefficient on SA in preference space
form....................
Beta0WTP| .01263*** .00080 15.86 .0000 .01107 .01419
S_b0_WTP| 0.0 .....(Fixed Parameter).....
| Sample Mean Sample
Std.Dev.....................................
Sigma(i)| 1.0*** .2153D-05 ******** .0000 .10000D+01 .10000D+01
--------+--------------------------------------------------------------------
nnnnn.D-xx or D+xx => multiply by 10 to -xx or +xx.
***, **, * ==> Significance at 1%, 5%, 10% level.
Fixed parameter ... is constrained to equal the value or
had a nonpositive st.error because of an earlier problem.
Model was estimated on May 06, 2021 at 02:57:53 PM
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