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Questions tagged [choice-modeling]

This is for questions about discrete choice modeling

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How does conditional logit deal with binary predictors in choice sets of three or more alternatives?

I am interested in clogit, not multinomial logit, and the overall effect of the predictor on the choice of n alternatives that can only be identified by their attributes (i.e., the choice sets are ...
Olifa's user avatar
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1 vote
0 answers
26 views

Choosing a unique visitor on the fly

I've been thinking of this as the "Prize of the Week" problem. Suppose you run a shop, and want to give out a prize once a week to someone making a randomly-selected purchase. You give out ...
Ralph Giles's user avatar
3 votes
1 answer
159 views

What is fundamentally different between a logistic regression and a Logit Discrete Choice model?

I'm trying to understand the difference between the two. I know there is a background random utility theory in discrete choice modeling, but I can't pinpoint, in what I've read, the difference between ...
Guilherme Marthe's user avatar
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20 views

Is it possible to reproduce a nested logit discrete choice model with a glm?

I'm trying to understand if I can fit mlogit's nested logit model using a different parametrization under the base glm procedure....
Guilherme Marthe's user avatar
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32 views

What is the appropriate design for a discrete choice experiment?

I need to develop a discrete choice experiment in R, which is an unlabeled experiment. However, after delving into the theory behind discrete choice experiments, it remains unclear whether there is a ...
Amy95's user avatar
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1 answer
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Logit probability with many option closely approximated by exponential probability

In the paper "Firms and Labor Market Inequality: Evidence and Some Theory" by David Card and coauthors (2018) I find this passage, where a logit choice probability is closely approximated by ...
Francesco Armillei's user avatar
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9 views

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 ...
Maarten 's user avatar
1 vote
1 answer
30 views

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), ...
Marie Heleen Badji's user avatar
10 votes
2 answers
971 views

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 ...
hellomotto's user avatar
2 votes
0 answers
34 views

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 ...
Simon Myers's user avatar
1 vote
1 answer
2k views

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 ...
hogu's user avatar
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1 vote
1 answer
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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 ...
niju's user avatar
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1 answer
89 views

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 ...
Determinant's user avatar
2 votes
1 answer
2k views

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 ...
Tobdanin's user avatar
2 votes
0 answers
35 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,...
baxx's user avatar
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157 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 ...
Navot Naor's user avatar
1 vote
1 answer
589 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 ...
Phil Viton's user avatar
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0 answers
39 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 ...
Johan Brolund's user avatar
1 vote
3 answers
71 views

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 ...
user13343754's user avatar
1 vote
1 answer
37 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: ...
Derek Corcoran's user avatar
1 vote
0 answers
295 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 ...
Jacob2309's user avatar
1 vote
0 answers
94 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_{...
xan's user avatar
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1 vote
1 answer
136 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 ...
William Oliver's user avatar
0 votes
1 answer
44 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 ...
Fabio's user avatar
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1 vote
0 answers
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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 ...
Ishan De Silva's user avatar
2 votes
1 answer
120 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 ...
canIchangethis's user avatar
1 vote
0 answers
10 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 ...
canIchangethis's user avatar
1 vote
0 answers
199 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, ...
Rey0208's user avatar
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4 votes
0 answers
105 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 ...
EngrStudent's user avatar
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11 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 ...
Kartal Tibet's user avatar
1 vote
0 answers
29 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 ...
GFG's user avatar
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1 vote
1 answer
43 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 ...
Antonin's user avatar
  • 409
6 votes
1 answer
220 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 ...
Gabriel Souza's user avatar
2 votes
1 answer
382 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, ...
Epimetheus's user avatar
3 votes
1 answer
251 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 ...
Alberto Stefanelli's user avatar
1 vote
0 answers
63 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:...
kborca518's user avatar
1 vote
0 answers
25 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 ...
Alex's user avatar
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1 vote
0 answers
508 views

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 ...
Lizzie001's user avatar
3 votes
1 answer
669 views

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 ...
Lizzie001's user avatar
0 votes
0 answers
220 views

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 ...
ctd25's user avatar
  • 101
2 votes
0 answers
26 views

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 ...
Aleksejs Fomins's user avatar
1 vote
1 answer
217 views

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 ...
VRWizard's user avatar
2 votes
1 answer
801 views

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 ...
colonus's user avatar
  • 192
1 vote
0 answers
47 views

Interpretation of model with interaction quotient

I am unsure about the interpretation of $\beta_1$ in the binary choice model $$Y=𝟙[\beta_0+\beta_1V+\beta_2\frac{V}{C}+\varepsilon>0].$$ Because I know that $V$ and $C$ are uncorrelated, I do ...
Tom Pape's user avatar
  • 640
2 votes
1 answer
544 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 ...
Jason Goal's user avatar
0 votes
0 answers
150 views

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 ...
Harsh Asnani's user avatar
1 vote
1 answer
515 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 ...
lampard811's user avatar
2 votes
1 answer
182 views

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 ...
user2898391's user avatar
0 votes
0 answers
43 views

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, ...
ranell's user avatar
  • 245
1 vote
0 answers
196 views

Experimental design for discrete choice response

I'm designing a survey where people need to choose one of three transportation alternatives. Here are the alternatives, their specific factors/attributes and the levels I intend to use for each: <...
Felipe D.'s user avatar
  • 268