Questions tagged [choice]

This is for questions about discrete choice modeling

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How to choose alternative specific constant (ASC) in multinomial logistic regression in R? (unlabeled choice experiments)

I am trying to replicate my colleague's NLOGIT analysis using R. This analysis was for a discrete choice experiment in which fisherman chose whether to opt into a hypothetical environmental protection ...
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0answers
15 views

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,...
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1answer
277 views

Multiple Choice Test: Probability of Identical Incorrect Answers

Setup: We consider a multiple choice test with 30 questions, each consisting of four potential answers. We know that (on average) neighbors answer 50% of all questions jointly correct. Assumption: ...
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1answer
45 views

Logit-Poisson Trick

Consider an analysis of discrete-choice logit, where the independent variables vary with the alternatives. Suppose that each individual is represented once in the sample, and that different ...
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37 views

Statistical test to test differences between 2 categorical variables

I have a data set outline preferences for 3 groups of subjects regarding payments and game features. The set looks like this: payment_source_preference favorite_feature Group GroupSize NoPreference ...
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1answer
636 views

From Discrete choice to Conjoint utilities

I'm having trouble figuring out how to correctly calculate conjoint part-worth-utility from a discrete choice experiment. I have recently run a pilot study to analyse in R where I used the packages “...
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1answer
275 views

nested logit with individual level fixed effect (panel data)

As is stated in the title, I have several questions concern the combination of nested logit and panel data. 1, Can we run nested logit with the individual fixed effect? this is useful when one has ...
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1answer
202 views

Conditional logit or multinomial logit?

I have the following problem I need to use a discrete choice model to determine the time values (VOT) of 3 transport alternatives (car, bus and train). Looking at the literature of the discrete choice ...
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23 views

Testing of significant mean/median difference between two computed log-normal distributions

I don´t know if this is possible to test, but I have estimated two mixed logit regressions on two different datasets and the resulting coefficients of the independent variables are assumed to be ...
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46 views

Calculating willingness to pay in mixed logit model with lognormally distributed price parameter

I am analyzing data from a discrete choice experiment (five attributes, including price attribute). For the mixed logit specification, I assumed normal distribution for the four non-price parameters; ...
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1answer
210 views

What are the right values for the prior mean and prior variance matrix in choice design?

I am doing my first choice experiment with JMP & the tutorial I found at http://blogs.sas.com/content/jmp/2009/01/15/optimal-design-of-the-choice-experiment/ Right now I am not sure if I ...
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7 views

Integrating case-specific variables in a conditional logit model

I am doing conditional logit (CL) analysis to model decisions. Next to alternative-specific variables I also have case-specific variables in the dataset. As far as I understand the CL, I can integrate ...
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26 views

How to implement nested logit model if the choice set for each individual is dynamic changing

I think this question is similar to Discrete choice model with different choice set for each sample, but that question does not have an answer. I have a dataframe in which individuals have dynamic ...
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1answer
14 views

Repeated Selection of 2 random options, how to model it

Probelem/Idea I am thinking of using an analysis with a methodology similar to the one ESPN is using to rank NBA players: ...
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8 views

How to choose scoring scheme for ordinal categorical variable?

I would like to perform logistic regression of skin damage by use of some drugs(all subjects will be applied with the same drug) with clinical change as ordinal categorical variable. Clinical change ...
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26 views

Endogeneity in Discrete Choice Models

Suppose we are trying to estimate a model to predict failure of a company as a function of some firm-level and macroeconomic variables using a logistic regression $Y_{it} = X_{it} \beta + \epsilon_{...
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1answer
686 views

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 ...
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9 views

Categorical dependent variable representing uneven intervals of hospital stays

I am trying to evaluate how a policy-change affected the number of hospital days per patient. I have claims-level data with lots of claim and patient variables. However, my dependent variable is a ...
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25 views

Interpretation of interaction terms in multinomial logit model

I'm having trouble interpreting the interaction terms of my multinomial logit model of data from a discrete choice experiment investigating seafood choices. Please find the R output below. ...
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21 views

collinearity issue with categorical variables

I've been working on a discrete choice experiment with a mixed logit model. The issue is, however, I'm getting the message saying "some variables are collinear - check your model specification&...
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4answers
2k views

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 ...
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39 views

statistical test for 3-preference choice design [closed]

We collected data from 40 animals in which we recorded the total time the animal spent in each of the 3 possible chambers. Thus, for each animal, we have three times (one for each chamber) and those ...
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9 views

Comparing goodness of fit for the same (conditional logit) model across two extremely similar samples

I have two datasets from two discrete choice experiments conducted in parallel, at the same time and with the same sample of respondents. The choice tasks of both experiments had in common: the text ...
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18 views

Algdesign, D-efficiency indicators

I want to understand the indicators of a D-efficiency design: I have the following code ...
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0answers
11 views

Choice set in algdesign D-efficiency

I'm new in D-efficiency. I tried to do design a choice experiment using algdesign to do a D-efficiency design. So I have the follow code: ...
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21 views

In Choice experiment, can I have 2 alternative status quo in a choice set?

I designed a choice experiment of 3 attribute + payment attribute, with support.CEs package. The choice set have 2 improvement alternative (alt.1 and alt.2) + 1 alternative status quo (alt.3). However ...
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1answer
27 views

Recalibration of constants with ordered logit for forecasting

I have estimated an order logit model: I have one utility function (without constant, in the form $\sum_i \beta_i * x_i$) with cuts and I estimated the $\beta_i$ and the cuts on revealed preference ...
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9 views

Are there models of choice that allow for dependence between choices

For example, say you were modelling the winner of a running race, with a binary outcome of win/not win. You had a vector of information for each runner (X). This includes things like recent form, ...
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92 views

nominal regression, kinda. What is the right terminology for this

tl;dr This looks cool, relates possible to discrete regression, but I don't know the term for what it is to do this. I want to learn more. It looks interesting and useful. Can you point me to ...
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1answer
17 views

"nested choice" multinomial model

I would describe a model (and solve with the stan software) a process like this: for i = 1...N consumers the i-th consumer is allowed to choose an item out of 7. 6 ...
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9 views

In Choce Experiments (DCE) creating cards from scenario sets must be random?

It will be difficult for me to describe it in one sentence, I will use an example. I would like to know if I can arrange the cards in the block combining scenarios other than randomly. In Aizaki, H., &...
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1answer
64 views

Why isn't the probability of an event happening in $L$ days given the probability $p$ it happens on any day $\frac{(2^L - 1)}{p^{-L}}$?

I feel like this is probably a dumb question, but there is something I am fundamentally misunderstanding here. The problem is essentially the same as the one mentioned in this question. I understand ...
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1answer
366 views

For conjoint attribute importance calculation, should insignificant attribute levels be included in the calculation?

In the output for Choice-based conjoint, there are some significant and some insignificant output utilities. When calculating attribute importance (using the difference formula), should I exclude ...
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8 views

Choice experiment with non random options (not factorial desing)

I dont' know how to explain, so I will give an example: I want to know if people prefer Coca-Cola or PepsiCo, so I designed a choice experiment with 2 alternatives with 2 levels: Coca (Coca-Cola and ...
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34 views

Classification of logit and probit models

Savolainen et al. (2011) has a review of discrete choice models used in accident analysis. The paper offers a classification of these models (see image), but some models (e.g. 'Partial proportional ...
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142 views

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 ...
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17 views

Mixure models with panel data

I am trying to estimate a discrete choice model with a latent class. Let's say that conditional on being in class $s$, a consumer chooses a product $i$ with the probability $P(i|s,\theta)$, where $\...
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17 views

Discrete choice model estimation for unique items

I want to estimate the parameters of a discrete choice model for an item (let's say a piece of stone). In the end, I want to predict a stone's attractivity or utility. Let's say there are 4 variables ...
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1answer
21 views

Which choice model to analyse my binary stated choice experiment data to estimate willingess-to-pay?

I followed the recipe of a stated-choice experiment in political science https://doi.org/10.1093/pan/mpt024 (they call it "conjoint" but I think this term is debated). In the end I made the ...
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0answers
8 views

Randomisation uneven in a choice experiment - what could help to overcome associated problems?

We conducted a choice experiment of the type forced-choice, choose between A or B. A or B are products that are described using 5 attributes. These 5 attributes have different attribute levels that ...
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41 views

Which test should I use for a three alternative forced choice experiment?

I am running an online survey experiment where participants are randomly assigned to different treatment groups. They are asked to make a three alternative forced choice (3AFC) decision, i.e., pick A, ...
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8 views

Expected value of conditional choice probability [duplicate]

I would like to compute the conditional choice probability which is defined as follows \begin{equation} p_k=Prob(f(m_k)+u_k>f(m_i)+u_i, \forall i\neq k|m) \end{equation} where $u_i, i=1,...,N$ are ...
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24 views

Appropriate model for path choice data

I have data from a path choice experiment in which shopping mall visitors chose among different path alternatives at several intersections. Additionally, I have measures of spatial syntax for the ...
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52 views

$R^2$ 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 ...
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53 views

Discrete choice model with different choice set for each sample

Data I have observational data of $N$ rows (samples). In row $n$ individual $k_n \in \{1, \ldots, K\}$ from a population of $K \ll N$ individuals chooses one option $y^{k_n}_n$ from $J_n$ options, ...
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1answer
904 views

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, ...
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1answer
83 views

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 ...
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35 views

Do I have a true within-subject design?

I am currently in the design phase for an experiment on different packaging attributes and their effects on an actual purchasing choice. In this context, I am asking myself a possibly trivial question:...
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24 views

Modeling and updating the reliability of two sources of information

I do not know the general framework this might fall under, apologies for the vague title. Assume that a decision maker's choice is dependent on two sources of information $f_1$ and $f_2$. Assume for ...