Questions tagged [choice-modeling]
This is for questions about discrete choice modeling
107
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Fractional factorial photographic questionnaire scenarios when I can't represent every option
Background: I am looking to do a DCE questionnaire on consumer preferences for a certain product. The scenarios are represented by photographs of the different products. Since the features and levels ...
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0
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20
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Coefficient are zero using the pylogit conditional logit model
Trying to understand conditional logic model using the dataset
https://raw.githubusercontent.com/pranavn91/PDF/main/xlstats_cbca.csv
But I am getting all the coefficient as zero (pylogit MNL model)
I ...
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16
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Can I use K-means clustering labels as my dependant variable for logistic or HB analysis?
Background
I am investigating Best-Worst Scaling analysis methods.
For those not familiar a survey is presented showing some attributes and the respondent is asked to score 2 of the shown attributes, ...
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7
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Correcting for multiple hypothesis when using discrete choice models
I was wondering if anyone knew if there was any guidance regarding correcting for multiple hypothesis (using for example Bonferroni correction) when using discrete choice models (for example MNL or ...
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1
answer
24
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Analysis of causal relationship of within-subject choice patterns among different groups using R - emmeans / hlm / Mixed Effects Logistic Regression
I am conducting a research and investigate the relationship between persona type (independent variable; a vs. b vs. c vs. d) and luxury perfume choice (dependent variable; niche vs prestige)(H1), ...
9
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2
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836
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How can I make inferences about individuals from aggregated data?
Say I am trying to run a logistic regression on an individual's choice between objects A and B based on some vector of characteristics.
My dataset, however, only happens to have the proportion of ...
- 91
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16
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Dual choice experiment - Is the paired sample Wilcoxon signed rank test the most appropriate?
I conducted an experiment with insects to find out whether one odour is preferred over another. The insects had the option of moving towards one of the odours (one of the stimulus zones) or staying in ...
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29
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What kind of regression for predicting limited resource allocation across items
I have data where people are given a limited number of tokens (1 - 10) which they can assign across five different items. The number of tokens they allocate to an item represents the importance of ...
- 21
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15
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Grouping options when multiple options are selected
I have data on over 3000 people. For each of these 3000 people around 5 options on average were prescribed for them to do out of a list of 300. I also have information on each of the 300 options such ...
- 21
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0
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92
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What can be advantage of ordered logit/probit compare to multinomial logit other than dependent variable format?
I know that in case of some existing dataset whose dependent variable is ordinal, and I want to use it, it is recommended to use ordered choice model than typicall multinomial choice model.
But what ...
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1
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528
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Is 0.1542 Mcfadden's Pseudo R2 acceptable in general?
I am conducting logistic regression and got 0.1542 as pseudo R2, and it is based on Mcfadden's.
I've searched materials about this, because this is my first time that modelling logit models, and found ...
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26
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Discrete Choice Experiment Design: What to do with choice sets with a dominant option?
I am working on a discrete choice experiment. I have two attributes, and each has 3 levels (below average, average, above average). Theoretically, any choice involving "below-below" or "...
- 11
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0
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52
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Labeled orthogonal design in R
I have a problem preparing labelled orthogonal designs in the R program.
I have two labelled alternatives;
Four attributes are common for both of them but levels are different
One attribute is just ...
1
vote
1
answer
582
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Interaction between alternative-specific and individual-specific variables in a conditional logistic regression
I am interested in the moderating effect of a voter's political knowledge on the effect of a voter's candidate evaluations on vote choice. I am trying to estimate conditional logit models to analyze ...
- 13
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votes
1
answer
78
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Population overlap of random distributions of binary choices
I’m trying to figure out how to calculate the overlap (concurrence) of certain building features, for example: high-efficiency windows, thick insulation, efficient lights, etc. I know the probability ...
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1
answer
1k
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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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0
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27
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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,...
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145
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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
...
1
vote
1
answer
378
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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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0
answers
38
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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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3
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67
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Which analysis for whether more likely to give response matching stimuli than not?
This is probably incredibly basic but I'm a bit lost. What analysis would you suggest to identify whether participants are more likely to make a choice (out of 4 categories) which matches the ...
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1
answer
17
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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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0
answers
227
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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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0
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77
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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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1
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1
answer
120
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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 ...
- 113
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1
answer
37
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"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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1
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0
answers
109
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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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1
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1
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86
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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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1
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0
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10
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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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0
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166
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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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95
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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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11
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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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0
answers
29
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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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1
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1
answer
32
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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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6
votes
1
answer
181
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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 ...
1
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1
answer
196
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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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1
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205
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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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0
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52
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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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0
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25
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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 ...
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443
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How to estimate a nested logit model using mlogit in R in the case of panel data and degenerate branche?
I'm using a Discrete Choice Experiment.
I have 9 choice sets with 3 alternatives (2 alternatives and an opt-out), the alternatives are described with 4 attributes.
I want to use a nested logit model ...
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3
votes
1
answer
600
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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 ...
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0
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185
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R MLogit 'system is singular' error
I'm running a choice model comparing how users choose between multiple options in an app.
I have the data formatted for use with MLogit:
Price and dist_rank_cat are features that vary by ...
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0
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25
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Choose number or nothing with machine learning
I want to do supervised learning. I have a labeled dataset. Each label is normally a real number between [0,1] corresponding to a location of a certain object in the data, or NAN if the object is not ...
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1
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193
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Statistical test for 3-way choice data
I have a data set of a 3-way mate choice experiment between species a, b and c. I aim to test whether males courted more often with females of their own species. The dependent variable is count data ...
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2
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1
answer
696
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latent class model on choice data with gmnl - choosing starting values
I want to run a LCMNL (using the gmnl-package) on choice data. I read that starting values can influence class allocation since LCMNL can have several optima. I found the following example code that I ...
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2
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1
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455
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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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142
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I'm trying to analyze my data using mlogit. I get singularity issues. I am very new to statistical modelling. Help appreciated!
The csv for the dataframe is here.
Basically the column Mode represents the transportation choice available for the user to go to the airport, Choice represents the user's choice, and all the other ...
1
vote
1
answer
425
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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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1
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159
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Logistic regression when the number of options differs by group?
I have data from a laboratory experiment in which I look at the effect of expanding the choice set on a particular option being chosen. The idea is that introducing an Option "B" reduces demand for an ...
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0
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43
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Choices study and availability difference
I have few experiments Type and four products type (p,c,s,m). We express preference with binary variables p_f, ...
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