[Limdep Nlogit List] Please check for me if the syntax used is ok and the results
Fuertes, Ana-Maria
A.Fuertes at city.ac.uk
Mon Nov 21 01:41:48 AEDT 2022
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________________________________
From: Limdep <limdep-bounces at mailman.sydney.edu.au> on behalf of William Greene via Limdep <limdep at mailman.sydney.edu.au>
Sent: Saturday, November 19, 2022 1:46:41 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] Please check for me if the syntax used is ok and the results
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you cannot have three alternative specific constants. At least one of them
must
equal zer0. I would drop "ASC"
/B. Greene
On Sat, Nov 19, 2022 at 6:12 AM Harold Mayaba via Limdep <
limdep at mailman.sydney.edu.au> wrote:
>
>
> Dear Pro Greene and other Nlogit users,
> Thank you very much for guiding me so far on how to use Nlogit. I'm almost
> ready to do my final run. But before do that, could you please check if the
> syntax below and the results are correct? Please give any suggestions if
> there is an improvement needed.
> Thanks
> 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)= ASC$
>
>
>
>
>
>
> Hessian is not positive definite at start values.Error 803: Hessian is
> not positive definite at start values.B0 is too far from solution for
> Newton method.Switching to BFGS as a better solution method.Iterative
> procedure has convergedNormal exit: 16 iterations. Status=0, F=
> .8519932D+04
> -----------------------------------------------------------------------------Start
> values obtained using MNL modelDependent variable ChoiceLog
> likelihood function -8519.93214Estimation based on N = 9550, K =
> 11Inf.Cr.AIC = 17061.9 AIC/N =
> 1.787--------------------------------------- Log likelihood
> R-sqrd R2AdjConstants only ********** .1752 .1734Note: R-sqrd = 1 -
> logL/Logl(constants)Warning: Model does not contain a fullset of ASCs.
> R-sqrd is problematic. Usemodel setup with ;RHS=one to get
> LogL0.---------------------------------------Response data are given as
> ind. choicesNumber of obs.= 9550, skipped 0
> obs--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> CHOICE| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> CAGED| -.87643*** .06445 -13.60 .0000 -1.00275
> -.75012 ACDOORS| 1.41447 .....(Fixed Parameter)..... NPRS|
> .09008*** .01368 6.58 .0000 .06327 .11690 CERT1|
> .09144*** .00887 10.30 .0000 .07404 .10883 CERT2|
> .14397 .....(Fixed Parameter)..... MMORT| -.27813*** .01708
> -16.28 .0000 -.31161 -.24465 HMORT| -.70977 .....(Fixed
> Parameter)..... ALT1| .10425 .....(Fixed Parameter).....
> PRICE| -.11580 .....(Fixed Parameter)..... ALT2| .26222
> .....(Fixed Parameter)..... ASC| -.36647 .....(Fixed
> Parameter).....--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Fixed parameter ... is
> constrained to equal the value orhad a nonpositive st.error because of an
> earlier problem.Model was estimated on Nov 19, 2022 at 11:24:03
> PM-----------------------------------------------------------------------------
> Line search at iteration101 does not improve the functionExiting
> optimization
> -----------------------------------------------------------------------------Random
> Parameters Multinom. Logit ModelDependent variable CHOICELog
> likelihood function -6852.74433Restricted log likelihood
> -10491.74736Chi squared [ 42](P= .000) 7278.00605Significance level
> .00000McFadden Pseudo R-squared .3468443Estimation based on N
> = 9550, K = 42Inf.Cr.AIC = 13789.5 AIC/N =
> 1.444--------------------------------------- Log likelihood
> R-sqrd R2AdjNo coefficients ********** .3468 .3454Constants only
> ********** .3366 .3352At start values -8519.9321 .1957 .1939Note: R-sqrd
> = 1 - logL/Logl(constants)Warning: Model does not contain a fullset of
> ASCs. R-sqrd is problematic. Usemodel setup with ;RHS=one to get
> LogL0.---------------------------------------Response data are given as
> ind. choicesReplications for simulated probs. = 100Used Halton sequences in
> simulations.RPL model with panel has 955 groupsFixed number of
> obsrvs./group= 10Number of obs.= 9550, skipped 0
> obs--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> CHOICE| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> |Random parameters in utility
> functions.............................. CAGED| -4.42927*** .50819
> -8.72 .0000 -5.42530 -3.43324 ACDOORS| 2.41098*** .25528
> 9.44 .0000 1.91064 2.91132 NPRS| -.08707 .13221
> -.66 .5102 -.34621 .17206 CERT1| .16443* .09518
> 1.73 .0841 -.02213 .35098 CERT2| .22919*** .08346
> 2.75 .0060 .06560 .39278 MMORT| -.54260*** .05634
> -9.63 .0000 -.65301 -.43218 HMORT| -1.28818*** .06629
> -19.43 .0000 -1.41811 -1.15826 |Nonrandom parameters in
> utility functions........................... ALT1| .40841
> .4843D+07 .00 1.0000 *********** *********** PRICE| -.19728***
> .00872 -22.62 .0000 -.21437 -.18018 ALT2| .61284
> .4843D+07 .00 1.0000 *********** *********** ASC| -1.02125
> .4843D+07 .00 1.0000 *********** *********** |Heterogeneity in
> mean, Parameter:Variable...........................CAGE:FEM| .17479
> .33810 .52 .6052 -.48788 .83747CAGE:MAL| .02841
> .19217 .15 .8825 -.34825 .40506CAGE:AGE| .08688***
> .01911 4.55 .0000 .04943 .12433CAG0:AGE| .02644**
> .01186 2.23 .0258 .00320 .04968CAG1:AGE| .01896*
> .01007 1.88 .0596 -.00077 .03869CAG2:AGE| .02021***
> .00726 2.78 .0054 .00598 .03444CAG3:AGE| .00668
> .00879 .76 .4472 -.01055 .02391CAGE:INC| -.06425
> .06038 -1.06 .2873 -.18259 .05409CAG0:INC| .01171
> .01531 .76 .4444 -.01830 .04171CAG1:INC| .02242***
> .00836 2.68 .0073 .00603 .03881CAG2:INC| .00504
> .00622 .81 .4178 -.00715 .01724CAG3:INC| .00657
> .00435 1.51 .1310 -.00196 .01510ACDO:FEM| -.30365
> .20052 -1.51 .1300 -.69667 .08937ACDO:MAL| -.02947
> .14078 -.21 .8342 -.30540 .24646ACDO:AGE| -.01546
> .01166 -1.33 .1849 -.03830 .00739ACD0:AGE| -.00406
> .00711 -.57 .5676 -.01800 .00987ACD1:AGE| -.00291
> .00524 -.55 .5789 -.01318 .00737ACD2:AGE| .00139
> .00446 .31 .7557 -.00736 .01013ACD3:AGE| .00062
> .00453 .14 .8906 -.00826 .00951ACDO:INC| .02493
> .02637 .95 .3445 -.02676 .07662ACD0:INC| -.00867
> .01027 -.84 .3986 -.02879 .01146ACD1:INC| -.00153
> .00600 -.26 .7983 -.01330 .01023ACD2:INC| .00207
> .00372 .56 .5789 -.00523 .00936ACD3:INC| -.00339
> .00267 -1.27 .2037 -.00862 .00184NPRS:FEM| 0.0
> .....(Fixed Parameter).....NPRS:MAL| 0.0 .....(Fixed
> Parameter).....NPRS:AGE| 0.0 .....(Fixed
> Parameter).....NPR0:AGE| 0.0 .....(Fixed
> Parameter).....NPR1:AGE| 0.0 .....(Fixed
> Parameter).....NPR2:AGE| 0.0 .....(Fixed
> Parameter).....NPR3:AGE| 0.0 .....(Fixed
> Parameter).....NPRS:INC| 0.0 .....(Fixed
> Parameter).....NPR0:INC| 0.0 .....(Fixed
> Parameter).....NPR1:INC| 0.0 .....(Fixed
> Parameter).....NPR2:INC| 0.0 .....(Fixed
> Parameter).....NPR3:INC| 0.0 .....(Fixed
> Parameter).....CERT:FEM| 0.0 .....(Fixed
> Parameter).....CERT:MAL| 0.0 .....(Fixed
> Parameter).....CERT:AGE| 0.0 .....(Fixed
> Parameter).....CER0:AGE| 0.0 .....(Fixed
> Parameter).....CER1:AGE| 0.0 .....(Fixed
> Parameter).....CER2:AGE| 0.0 .....(Fixed
> Parameter).....CER3:AGE| 0.0 .....(Fixed
> Parameter).....CERT:INC| 0.0 .....(Fixed
> Parameter).....CER0:INC| 0.0 .....(Fixed
> Parameter).....CER1:INC| 0.0 .....(Fixed
> Parameter).....CER2:INC| 0.0 .....(Fixed
> Parameter).....CER3:INC| 0.0 .....(Fixed
> Parameter).....CER0:FEM| 0.0 .....(Fixed
> Parameter).....CER0:MAL| 0.0 .....(Fixed
> Parameter).....CER4:AGE| 0.0 .....(Fixed
> Parameter).....CER5:AGE| 0.0 .....(Fixed
> Parameter).....CER6:AGE| 0.0 .....(Fixed
> Parameter).....CER7:AGE| 0.0 .....(Fixed
> Parameter).....CER8:AGE| 0.0 .....(Fixed
> Parameter).....CER4:INC| 0.0 .....(Fixed
> Parameter).....CER5:INC| 0.0 .....(Fixed
> Parameter).....CER6:INC| 0.0 .....(Fixed
> Parameter).....CER7:INC| 0.0 .....(Fixed
> Parameter).....CER8:INC| 0.0 .....(Fixed
> Parameter).....MMOR:FEM| 0.0 .....(Fixed
> Parameter).....MMOR:MAL| 0.0 .....(Fixed
> Parameter).....MMOR:AGE| 0.0 .....(Fixed
> Parameter).....MMO0:AGE| 0.0 .....(Fixed
> Parameter).....MMO1:AGE| 0.0 .....(Fixed
> Parameter).....MMO2:AGE| 0.0 .....(Fixed
> Parameter).....MMO3:AGE| 0.0 .....(Fixed
> Parameter).....MMOR:INC| 0.0 .....(Fixed
> Parameter).....MMO0:INC| 0.0 .....(Fixed
> Parameter).....MMO1:INC| 0.0 .....(Fixed
> Parameter).....MMO2:INC| 0.0 .....(Fixed
> Parameter).....MMO3:INC| 0.0 .....(Fixed
> Parameter).....HMOR:FEM| 0.0 .....(Fixed
> Parameter).....HMOR:MAL| 0.0 .....(Fixed
> Parameter).....HMOR:AGE| 0.0 .....(Fixed
> Parameter).....HMO0:AGE| 0.0 .....(Fixed
> Parameter).....HMO1:AGE| 0.0 .....(Fixed
> Parameter).....HMO2:AGE| 0.0 .....(Fixed
> Parameter).....HMO3:AGE| 0.0 .....(Fixed
> Parameter).....HMOR:INC| 0.0 .....(Fixed
> Parameter).....HMO0:INC| 0.0 .....(Fixed
> Parameter).....HMO1:INC| 0.0 .....(Fixed
> Parameter).....HMO2:INC| 0.0 .....(Fixed
> Parameter).....HMO3:INC| 0.0 .....(Fixed Parameter).....
> |Distns. of RPs. Std.Devs or limits of
> triangular.................... NsCAGED| 3.44339*** .15805 21.79
> .0000 3.13362 3.75316NsACDOOR| 1.73423*** .08773 19.77
> .0000 1.56228 1.90618 NsNPRS| 1.66764*** .07600 21.94
> .0000 1.51869 1.81658 NsCERT1| .02426 .11641 .21
> .8349 -.20389 .25241 NsCERT2| .17620 .19691 .89
> .3709 -.20974 .56214 NsMMORT| .27013** .12051 2.24
> .0250 .03393 .50633 NsHMORT| .91490*** .08583 10.66
> .0000 .74667
> 1.08312--------+--------------------------------------------------------------------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 orhad a
> nonpositive st.error because of an earlier problem.Model was estimated on
> Nov 19, 2022 at 11:52:01
> PM-----------------------------------------------------------------------------
> Parameter Matrix for Heterogeneity in Means.Matrix DELTA_RP is displayed
> in project window.Saved Individual Estimates of WTP in matrix WTP_I [
> 955x5]Alternative Attribute Income/Cost Chosen CAGED
> PRICE Chosen ACDOORS PRICE Chosen NPRS
> PRICE Chosen CERT2 PRICE Chosen HMORT
> PRICE(Saved absolute values. Check signs of
> coefficients.)+-------------------------------------------------------------------------+|
> Descriptive Statistics for Alternative ALT1 ||
> Utility Function | (CBS wt = 1.00000) | 2523.0 observs. ||
> Coefficient | All 9550.0 obs.|that chose ALT1 ||
> Name Value Variable | Mean Std. Dev.|Mean Std. Dev. ||
> ------------------- -------- | -------------------+------------------- ||
> CAGED -4.4293 CAGED | .338 .473| .122 .328 ||
> ACDOORS 2.4110 ACDOORS | .269 .443| .589 .492 ||
> NPRS -.0871 NPRS | .795 .404| .932 .251 ||
> CERT1 .1644 CERT1 | .266 .442| .372 .483 ||
> CERT2 .2292 CERT2 | .571 .495| .657 .475 ||
> MMORT -.5426 MMORT | .234 .424| .187 .390 ||
> HMORT -1.2882 HMORT | .442 .497| .319 .466 ||
> ALT1 .4084 ONE | 1.000 .000| 1.000 .000 ||
> PRICE -.1973 PRICE | 8.470 3.425| 8.673 3.088
> |+-------------------------------------------------------------------------++-------------------------------------------------------------------------+|
> Descriptive Statistics for Alternative ALT2 ||
> Utility Function | (CBS wt = 1.00000) | 3076.0 observs. ||
> Coefficient | All 9550.0 obs.|that chose ALT2 ||
> Name Value Variable | Mean Std. Dev.|Mean Std. Dev. ||
> ------------------- -------- | -------------------+------------------- ||
> CAGED -4.4293 CAGED | .507 .500| .239 .426 ||
> ACDOORS 2.4110 ACDOORS | .363 .481| .618 .486 ||
> NPRS -.0871 NPRS | .895 .307| .955 .208 ||
> CERT1 .1644 CERT1 | .275 .447| .422 .494 ||
> CERT2 .2292 CERT2 | .490 .500| .467 .499 ||
> MMORT -.5426 MMORT | .400 .490| .335 .472 ||
> HMORT -1.2882 HMORT | .258 .438| .194 .396 ||
> PRICE -.1973 PRICE | 8.561 3.497| 8.927 3.188 ||
> ALT2 .6128 ONE | 1.000 .000| 1.000 .000
> |+-------------------------------------------------------------------------++-------------------------------------------------------------------------+|
> Descriptive Statistics for Alternative NONE ||
> Utility Function | (CBS wt = 1.00000) | 3951.0 observs. ||
> Coefficient | All 9550.0 obs.|that chose NONE ||
> Name Value Variable | Mean Std. Dev.|Mean Std. Dev. ||
> ------------------- -------- | -------------------+------------------- ||
> ASC -1.0213 ONE | 1.000 .000| 1.000 .000
> |+-------------------------------------------------------------------------++---------------------------------------------------+|
> Elasticity averaged over observations.|| Effects on
> probabilities of all choices in model: || * = Direct Elasticity effect of
> the attribute. |+---------------------------------------------------+
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt CAGED in
> ALT1--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> Choice| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> ALT1| .01567*** .00110 14.30 .0000 .01353 .01782
> ALT2| -.02306*** .00072 -32.20 .0000 -.02446 -.02166
> NONE| .00750*** .00032 23.69 .0000 .00688
> .00812--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Model was estimated on Nov 19,
> 2022 at 11:52:17
> PM-----------------------------------------------------------------------------
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt CAGED in
> ALT1--------+--------------------------------------------------------------------
> | Average Sample Standard Sample Sample Choice|
> Elasticity Deviation Minimum
> Maximum--------+--------------------------------------------------------------------
> ALT1| .01567 .00110 -1.048339 .97014
> ALT2| -.02306 .00072 -.832149 .14075 NONE|
> .00750 .00032 -.125706
> .12165--------+--------------------------------------------------------------------
>
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt CAGED in
> ALT2--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> Choice| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> ALT1| -.01800*** .00085 -21.09 .0000 -.01967 -.01632
> ALT2| -.00980*** .00120 -8.19 .0000 -.01215 -.00746
> NONE| .01844*** .00052 35.46 .0000 .01742
> .01945--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Model was estimated on Nov 19,
> 2022 at 11:52:17
> PM-----------------------------------------------------------------------------
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt CAGED in
> ALT2--------+--------------------------------------------------------------------
> | Average Sample Standard Sample Sample Choice|
> Elasticity Deviation Minimum
> Maximum--------+--------------------------------------------------------------------
> ALT1| -.01800 .00085 -.857762 .19395
> ALT2| -.00980 .00120 -4.429265 .86448 NONE|
> .01844 .00052 -.114899
> .31473--------+--------------------------------------------------------------------
>
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt ACDOORS in
> ALT1--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> Choice| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> ALT1| .26345*** .00301 87.61 .0000 .25756 .26935
> ALT2| -.08918*** .00255 -35.03 .0000 -.09417 -.08419
> NONE| -.09644*** .00218 -44.26 .0000 -.10071
> -.09217--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Model was estimated on Nov 19,
> 2022 at 11:52:17
> PM-----------------------------------------------------------------------------
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt ACDOORS in
> ALT1--------+--------------------------------------------------------------------
> | Average Sample Standard Sample Sample Choice|
> Elasticity Deviation Minimum
> Maximum--------+--------------------------------------------------------------------
> ALT1| .26345 .00301 .000000 1.29951
> ALT2| -.08918 .00255 -2.410980 .00000 NONE|
> -.09644 .00218 -17.620707
> .00000--------+--------------------------------------------------------------------
>
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt ACDOORS in
> ALT2--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> Choice| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> ALT1| -.15766*** .00300 -52.55 .0000 -.16354 -.15178
> ALT2| .30241*** .00326 92.66 .0000 .29601 .30881
> NONE| -.12793*** .00245 -52.32 .0000 -.13272
> -.12313--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Model was estimated on Nov 19,
> 2022 at 11:52:17
> PM-----------------------------------------------------------------------------
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt ACDOORS in
> ALT2--------+--------------------------------------------------------------------
> | Average Sample Standard Sample Sample Choice|
> Elasticity Deviation Minimum
> Maximum--------+--------------------------------------------------------------------
> ALT1| -.15766 .00300 -1.113150 .00015
> ALT2| .30241 .00326 -8.577929 1.54070 NONE|
> -.12793 .00245 -.959014
> .00007--------+--------------------------------------------------------------------
>
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt PRICE in
> ALT1--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> Choice| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> ALT1| -.59836*** .00391 -152.92 .0000 -.60603 -.59070
> ALT2| .16246*** .00161 101.17 .0000 .15932 .16561
> NONE| .24892*** .00228 109.19 .0000 .24445
> .25339--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Model was estimated on Nov 19,
> 2022 at 11:52:17
> PM-----------------------------------------------------------------------------
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt PRICE in
> ALT1--------+--------------------------------------------------------------------
> | Average Sample Standard Sample Sample Choice|
> Elasticity Deviation Minimum
> Maximum--------+--------------------------------------------------------------------
> ALT1| -.59836 .00391 -2.114475 .00000
> ALT2| .16246 .00161 .013525 1.47958 NONE|
> .24892 .00228 .012178
> 1.47958--------+--------------------------------------------------------------------
>
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt PRICE in
> ALT2--------+--------------------------------------------------------------------
> | Standard Prob. 95% Confidence
> Choice| Coefficient Error z |z|>Z*
> Interval--------+--------------------------------------------------------------------
> ALT1| .24151*** .00288 83.73 .0000 .23586 .24717
> ALT2| -.54232*** .00336 -161.60 .0000 -.54889 -.53574
> NONE| .25491*** .00254 100.44 .0000 .24993
> .25988--------+--------------------------------------------------------------------***,
> **, * ==> Significance at 1%, 5%, 10% level.Model was estimated on Nov 19,
> 2022 at 11:52:17
> PM-----------------------------------------------------------------------------
> -----------------------------------------------------------------------------Average
> elasticity of prob(alt) wrt PRICE in
> ALT2--------+--------------------------------------------------------------------
> | Average Sample Standard Sample Sample Choice|
> Elasticity Deviation Minimum
> Maximum--------+--------------------------------------------------------------------
> ALT1| .24151 .00288 .000000 1.29952
> ALT2| -.54232 .00336 -1.947200 -.13153 NONE|
> .25491 .00254 .000000
> 1.07492--------+--------------------------------------------------------------------
>
>
> Elasticity wrt change of X in row choice on Prob[column
> choice]--------+--------------------------CAGED | ALT1 ALT2
> NONE--------+-------------------------- ALT1| .0157 -.0231
> .0075 ALT2| -.0180 -.0098 .0184
>
> Elasticity wrt change of X in row choice on Prob[column
> choice]--------+--------------------------ACDOORS | ALT1 ALT2
> NONE--------+-------------------------- ALT1| .2635 -.0892
> -.0964 ALT2| -.1577 .3024 -.1279
>
> Elasticity wrt change of X in row choice on Prob[column
> choice]--------+--------------------------PRICE | ALT1 ALT2
> NONE--------+-------------------------- ALT1| -.5984 .1625
> .2489 ALT2| .2415 -.5423 .2549
> |-> ;RPL$Error 1: Unrecognized command. (Missing ; ?)
>
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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/r60RCROND2urqV0EntNig2Y?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
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