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Questions tagged [marginal-effects]

Marginal effects in regression analysis show how an explained variable changes when a particular explanatory variable changes ceteris paribus.

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Replicate Stata's marginal effects from multinomial logit regression in R

I am trying to replicate Stata's marginal effects from multinomial logit models in R but with no success. For the multinomial logit model, I used the multinom() function from the nnet package and for the marginal effects I used the margins package…
cliu
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Marginal Effect from svyglm object with a subsample in R

I need to compute marginal effects out of a Generalized Linear Model (family=Poisson) estimated via the svyglm function from the R package survey for a subsample. First, I declared the survey desgin with: myDesisgn = svydesign(id=data$id,…
Caserio
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Regression Output from probitmfx

I am trying to produce a nice regression table for marginal effects & p-values from the probitmfx function, where p-values are reported under the marginal effect per covariate. An picture example of what I'd like it to look like is here Similar…
wien25
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Find marginal effects in multiple equation model with ordered probit - cmp

I am really new to Stata, so that my question might be trivial I am using package cmp to estimate a bivariate model that goes as follows: cmp(d_ln_jobs = d_layer) (d_layer = d_tariff), vce(robust) ind($cmp_cont $cmp_probit) nolr quietly…
Arthur Carvalho Brito
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How does predict.cv.glmnet() calculate the link value for binomial models?

I'm thinking this is a coding error on my part, but I can't figure out what I'm doing wrong. I'm trying to create marginal effects plots for x when x+x^2 are in a binomial glmnet model. When I made predictions using predict.cv.glmnet() on a new…
Kevin
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Calculate marginal effects of probit model with categorial data

So my example data looks like this: library(dplyr) library(plm) library(car) library(margins) test <- structure(list(period = c(1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 1, 2, 2, 2, 3,…
Maximilian
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How to interpret coefficient on interaction term between 2 dummy variables

Using logistic regression, I am attempting to model the marginal effect of being female and earning below the poverty threshold (both binary variables) on predicting probability of developing hypertension. I created an interaction term…
juliah0494
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How to get Emmtrends () to produce Bayes Factor in Rstudios

I'm looking for a way to get the emtrends() function to provide a Bayes factor, as I am interested in a trend for the average effect. More specifically a way that it would spit out the Bayes factor as well as a lower and higher density interval of…
nathalie herles
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Estimating the average marginal effect of binary and continuous coefficients in logit model R

Using data from the National Health Interview Survey, I am hoping to analyze the average marginal effect a variety of demographic factors have on the predicted probability of having hypertension using a logistic regression. To clarify, by average…
juliah0494
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Compute marginal effects of slope in mixed model with interactions (between categorical and metric covariates)

I currently work on a mixed model, that includes multiple interactions of a categorical variable and a metric cost variable to predict a metric output. I'm very interested in the changes of the linear relationship between cost and output (slope) due…
stats-hb
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How can margins display value labels (Stata)

I estimate marginal effects of a continuous variable at certain levels of a factor. While I can define and change value labels for my factor variable, the margins command does not display those labels. Can this be changed? * load data set more…
Marco
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Calculation of marginal effects mlogit, Error "Arguments mus have the same length"

I try to calculate the marginal effects after I conducted a multinomial logistic regression using mlogit. reg1 <- mlogit::mlogit(formula = value ~ 1 | ScoreEnvAtt, data = listDatasets[[2]]) reg1 summary(reg1) z <- with(listDatasets[[2]],…
Mariella
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Comparing marginal values across two sub-samples in logistic models

I have a logit model with an interaction term. I want to test this interaction coefficient across two sub-samples (divided based on some value of another variable). Since logistic models, interpretation of coefficients requires marginal analysis (Ai…
Navid Asgari
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Calculating marginal effects from predicted probabilities of zeroinfl() model object

This plot, which I previously created, shows predicted probabilities of claim onset based on two variables, PIB (scaled across the x-axis) and W, presented as its 75th and 25th percentiles. Confidence intervals for the predictions are presented…
Sam Driggers
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Setting covariates to the mean for marginal effects using ggpredict

I have some data (df): inter out time int 0 1 21 0 0 0 32 0 0 1 44 0 0 0 59 0 0 1 88 0 0 1 111 0 0 0 54 0 1 0 63 63 1 1 73 73 1 1 83 83 1 0 93 93 1 1 52 …
llsabang
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