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MNL model- elasticity calculations

Ask questions about post-estimation functions (e.g. prediction, conditionals, etc) or other processing of results.
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Blake Huang
Posts: 9
Joined: 08 Dec 2020, 11:30

MNL model- elasticity calculations

Post by Blake Huang » 08 Jul 2021, 08:03

Hi, prof Hess,

I met a mistake when attempting to calculate the elasticity in the MNL model. Here is the warning:

WARNING: Element database in the global environment differs from that inside apollo_inputs. The latter will be used. If you wish to use the former, stop this function by pressing the "Escape" key, and rerun apollo_validateInputs before calling this function.

Could you please give some suggestions on what I can to handle this? Thank you.

Best regards,

The following is my code:

rm(list = ls())
apollo_control = list(
modelName ="multinomial logit model",
modelDescr ="MNL with P&R Mode Choice",
indivID ="ID"
database = read.csv("apollo_multinomial logit model.csv",header=TRUE)
apollo_beta = c( asc_1 = 0,
asc_2 = 0,
asc_3 = 0,
b_sex_3 = 0,
b_age2_3 = 0,
b_age3_3 = 0,
b_job1_3 = 0,
b_job2_3 = 0,
b_dyear_3 = 0,
b_pr_3 = 0,
b_fee = 0,
b_con = 0,
b_rec = 0,
b_med = 0,
b_tt = 0)
apollo_fixed = c("asc_1")

apollo_inputs = apollo_validateInputs()

apollo_probabilities=function(apollo_beta, apollo_inputs, functionality="estimate") {
apollo_attach(apollo_beta, apollo_inputs)
on.exit(apollo_detach(apollo_beta, apollo_inputs))

P = list()
V = list()
V[['alt1']] = asc_1 + b_tt * tt1
V[['alt2']] = asc_2 + b_tt * tt2
V[['alt3']] = asc_3 + b_tt * tt3 + b_fee * fee + b_con * con + b_rec * rec + b_med * med + b_sex_3 * sex + b_age2_3 * age2 + b_age3_3 * age3 + b_job1_3 * job1 + b_job2_3 * job2 + b_dyear_3 * dyear + b_pr_3 * pr
mnl_settings = list(
alternatives = c(alt1=1, alt2=2, alt3=3),
avail = list(alt1=1, alt2=1, alt3=1),
choiceVar = choice,
V = V
P[["model"]] = apollo_mnl(mnl_settings, functionality)
P = apollo_panelProd(P, apollo_inputs, functionality)
P = apollo_prepareProb(P, apollo_inputs, functionality)
model = apollo_estimate(apollo_beta, apollo_fixed, apollo_probabilities, apollo_inputs)


predictions_base = apollo_prediction(model, apollo_probabilities, apollo_inputs, prediction_settings=list(runs=30))
database$tt1 = 1.01*database$tt1
predictions_new = apollo_prediction(model, apollo_probabilities, apollo_inputs)
database$tt1 = 1/1.01*database$tt1

if(sink.number()>0) sink()

Site Admin
Posts: 558
Joined: 24 Apr 2020, 16:29

Re: MNL model- elasticity calculations

Post by stephanehess » 08 Jul 2021, 10:36


as the message tells you, you should run apollo_validateInputs again before making the prediction on the changed data

So you need to have

Code: Select all

predictions_base = apollo_prediction(model, apollo_probabilities, apollo_inputs, prediction_settings=list(runs=30))
database$tt1 = 1.01*database$tt1
apollo_inputs = apollo_validateInputs()
predictions_new = apollo_prediction(model, apollo_probabilities, apollo_inputs)
Stephane Hess

Blake Huang
Posts: 9
Joined: 08 Dec 2020, 11:30

Re: MNL model- elasticity calculations

Post by Blake Huang » 08 Jul 2021, 10:56

Dear Prof Hess,

Thank you very much for your quick reply!


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