Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [choice-modeling]

This is for questions about discrete choice modeling

105 questions
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Discrete choice panel models in R

I know this question might have been around before like in this SO thread, but maybe (hopefully) its answer has changed over time. Is there any package in R or an outline how to do panel regressions with a discrete dependent variable? Is there any…
hans0l0
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Inferring parameters for a regression with features of both multivariate probit and ordinal regression?

Based on my data generated by a complex process and the problem below detailed, I have tried various approaches, to no avail. I am trying to answer one or more of the following questions: a) Has someone solved my problem already? Are there other…
Sameer
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How to subset alternatives in nested multinomial logistic regression?

I am trying to predict whether or not captains in a particular groundfish fishery choose to fish on any given day and what variables may influence that decision. Originally I had planned on using vanilla logistic regression, where each captain…
Trevor Gratz
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1 answer

BIC vs. intuition

This may be an obvious question: what do you do when the AIC or BIC choose a model that makes no sense in reality. I'm looking at data for predictors of hospital selection, and things like a spouse's age are on the right-hand side of the lowest-BIC…
TheChainsOfMarkov
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How do I do a conjoint analysis in R? I don't think the conjoint package is appropriate

We have conducted a conjoint survey of people's preferences when shopping for salmon. We have defined our salmon products in terms of "price" (20p steps from £3.60 to £5), "eco-certification" (none, green statement and certified) and "Brand" (high,…
elephants_neve_forget
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How to add Indivivual Specific Variables for unlabelled alternative (using interactions) using mlogit with R?

I’m using DCE with unlabelled alternatives, 9 choice set with 3 alternative each (2 option and Optout alternative), described with 4 attributes. I've started with a conditional logit (with only alternative specific…
Lizzie001
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MLE for the conditional logit model seems to have awful precision?

I'm simulating the data underlying a conditional logit model then doing my own MLE estimation using optim. However, even with an unreasonably large amount of data, the estimator seems to have awful precision. Is this expected, or I am making…
Heisenberg
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$R^2$ of Logistic Regression Without Intercept?

I am calibrating a logistic regression for a survey data which comes from a binary stated choice experiment. The stated choice experiment was an unlabeled one, which means that all the variables describing the two alternatives are generic (time and…
Gabriel Souza
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1 answer

multilevel discrete choice model

Say a preference-survey asks respondents which of four products they prefer. For each product, I have the respondent's alternative specific covariate (let's say price) for each alternative included in the choice set. The respondents are nested in…
Alberto Stefanelli
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Probability of choosing the degenerate branch in a nested multinomial logit

This may be an obvious question, but I'm flummoxed. Let's say I've got a nested logit model with a degenerate nest—say, a healthcare choice model where the branches are Home vs. Hospital. The Home branch has only one twig, called NoTreatment, while…
TheChainsOfMarkov
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Non-categorical choice: multinomial logit or something different?

My case is quite simple. Customers are faced with series of choices of unique alternatives. For example: Customer 1 chooses one of 1,2,3,4,5,6 Customer 1 chooses one of 7,8,9 Customer 2 chooses one of 10,11,12,13 Customer 2 chooses one of 14,15,16…
8k14
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D-efficiency in choice-based conjoint analysis

How to calculate the D-efficiency of experimental designs in conjoint analysis? Specifically, how do you specify the $X$ and the number of $nBetas$ in this formula: $$ D_e=\frac{|X'X|^{1/nBetas}}{nSets} $$ This question addresses the calculation of…
k-zar
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Reasonable approach for modelling churn (survival) and choice of intervention campaign (multinomial regression)?

I've only recently moved into customer analytics, and would love to get some advice around designing a reasonable approach to modelling my data. I want to be able to predict customer churn (that is, predict if individual customers are going to leave…
Meep
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What is the “Logistic Regression”? I cannot have a unified concept

I'm interested in logistic regression for modeling a classification problem. I tried to study logistic regression with two books, "Discrete Choice Methods with Simulation" (Train) and "Applied Logistic Regression" (Hosmer and Lemeshow). To clarify…
S.Hong
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How much confidence to have data is correct based on checking N samples

If I have a dataset of size $N$, and choose $n$ samples, where $k$ of the samples are OK, how confident can I be that the dataset is OK? To make it more concrete, suppose I have a dataset D1 with 5,000 values. I choose 20 of these and check each…
baxx
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