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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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Are there packages in Julia that estimates the marginal means or marginal effects?

I am new to Julia and i estimated some multilevel regressions using Mixed Models. Everything worked perfectly fine but i would like to estimate the marginal means or marginal effects. In R there are two packages that i am aware of for that regard:…
Jack
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Margins package in R generating NAs in results

This is my first post, so hopefully I'm doing this right. I'm running a polr model in R and am attempting to generate some marginal effects plots using the margins package. When I view the results, everything except for the AME has a value of NA.…
amyvt98
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Calculate Marginal effect by hand (without using packages or Stata or R) with logit and dummy variables

I have the following dilemma: I understand-ish what marginal effects are, also the calculation of it, derivation of the sigmoid function and how to interpret it (as a the change in probability by increasing your variable of interest by "a little…
Felipe Araya
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Test of second differences for average marginal effects in logistic regression

I have a question similar to the one here: Testing the difference between marginal effects calculated across factors. I used the same code to generate average marginal effects for two groups. The difference is that I am running a logistic rather…
IGR
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Plot the marginal effect of different regressions in one graph

I am running the same probit regression five times but on different sets of data. How can I plot the curve of the marginal effects for each regression on the same graph to compare them in an easy way? Below is the code I have tried: probit…
Vincenzoalfano
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Average Marginal Effects in R with complex interaction terms

I am using R to compute the linear regression on the following model, as well as find the marginal effects of age on pizza at specific points (20,30,40,50,55). mod6.22c <- lm(pizza ~ age + income + age*income + …
Jess
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How to get marginal effects for categorical variables in mlogit?

I want to compute marginal effects for a "mlogit" object where explanatory variables is categorical (factors). While with numerical data effects() throws something, with categorical data it won't. For simplicity I show a bivariate example…
jay.sf
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How to create a marginal effects plot for fixed effects regression with TSCS data?

I am trying to replicate a marginal effects plot for the following model model_7 <- plm(devexp_share_totexp2 ~ enop_seatslag + turnoutconslag + ix_turnoutenop_seatslag + devexp_share_totexp2lag + growth_newlag + log_realinc_newlag +…
Bilal
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How to replicate Stata's "margins at" in R after lm()

From Stata: margins, at(age=40) To understand why that yields the desired result, let us tell you that if you were to type . margins margins would report the overall margin—the margin that holds nothing constant. Because our model is logistic,…
Nata107
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Interpret margins (after reghdfe) across groups with logged dependent variable

I want to determine the gender wage gap and use the reghdfe command to obtain a linear estimate of this: ln_real_wage is the natural log of real annual wages. male returns 1 for male individuals and zero elsewhere. high_skilled_chen returns 1 for…
Michelle13
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How to get ggeffects to use the actual offset values rather than the average

I have found very limited information on how ggeffects handles offsets. I found this article describing different ways packages in R and Stata handle offsets. I implemented the example in the website and discovered that ggpredict is estimating the…
ClaireR
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non-parametric manova in R

I created a small example data set: value <- rnorm(100, mean = 100, sd = 36) group <- c(rep(c("A", "B", "C"), 33), "C") gender <- c(rep(c("M", "F"), 50)) test <- cbind(value, group, gender) test <- as.data.table(test) I want to see if the mean…
Nneka
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Predicting with GAM and categorical predictors in R

I have some data for multiple users and I want to generate some marginal effects for each user using GAM modelling. If I do this exercise for just a single user (John) as: model_1 = mgcv::gam(y ~ s(speed) + s(length) + s(price), data1) with data1…
Telis
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plotting marginal effects of multinomial logistic regression in R

UPDATE BELOW I am running a logistic regression model in R, in which the DV has four categories, one of which, however, is the baseline. The baseline category represents the absence of the phenomenon I am predicting, whereas the other three…
Jorissimo
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Obtaining predictions from a pooled imputation model

I want to implement a "combine then predict" approach for a logistic regression model in R. These are the steps that I already developed, using a fictive example from pima data from faraway package. Step 4 is where my issue…
usual_user16960220
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