# Questions tagged [marginal-effect]

Marginal effects measure the change in the conditional mean of outcome $y$ when regressors change by one unit.

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### How to interpret marginal effect for an ordinal probit model when the independent variables consist of factor scores?

I conducted an exploratory factor analysis on a 5-point Likert scale utilizing polychoric correlations, identifying and retaining 4 factors. Subsequently, I computed factor scores through the ...
1 vote
42 views

### Hypothesis testing in moderation analysis after Propensity Score Matching

I would like to perform a moderation analysis after Propensity Score Matching with a binary outcome model. I estimate a logistic regression outcome model (following this vignette). I am wondering, ...
1 vote
51 views

### Average Marginal Effect interpretation for probit Model

I'd like to have your feedback about the interpretation of the Average Marginal Effect (AME) for a probit model. Suppose we have the following model \begin{equation} P(y=1|x)= \Phi(\beta_0 + \beta_1 ...
1 vote
53 views

### Marginal Effect for Poisson Model

I am using package marginaleffects for calculating the AME of an exposure variable on a count dependent variable. I am hence using Poisson (and Negative Binomial as robustness). The dependent variable ...
15 views

### Linear Model, Identification of Structural Parameter

I'm reviewing the foundations of linear regression using Wooldridge's Econometric Analysis of Cross Section and Panel Data and Cameron and Trivedi's Microeconometrics : Methods and Applications. The ...
12 views

### Determining maximum/minimum values at which marginal effect is significant

I am running the following regression:  reg stdnutrition stdlogdeficit stdinfrastructure c.stdlogdeficit#c.stdinfrastructure where all variables are standardised.  ...
17 views

### Do I want the linear regressions fixed, random or marginal effects as the "adjusted values"?

my apologies ahead of time if it's not as clear as I would like it to be. I'm using a linear mixed effect (nlme package) to determine the association between a modularity score (on a range of -1 to 1)...
19 views

### Interpreting a coefficient for a matched/weighted data set for non-linear outcomes

Prior research has demonstrated that the interpretation of a regression coefficient no longer represents the marginal effect once non-linear term transformations (logs, interactions, etc.) are ...
59 views

### What are the comparative advantages and disadvantages of interpreting regression output using marginal effects vs. ratios?

In models with a discrete dependent variable and/or linear models with non-linear right-hand specifications (interactions, polynomials, etc.), interpreting the association between Y and BX becomes ...
86 views

### Bootstrap for nonlinear regression (quasibinomial GLM) using marginaleffects::inferences after matching

Background Looking into the MatchIt articles made me realize that using Bootstrap with BCa is a better practice for assessing uncertainty estimation (since: "For nonlinear models (e.g., logistic ...
1 vote
97 views

### How to do the post-hoc analysis for three predictors (two factor variables and one numeric variable)

I'm using a linear mixed effects model to analyze the reaction time of learners of English as a Second Language (ESL). I have two factor variables: grammaticality (grammatical v.s. ungrammatical) and ...
1 vote
103 views

### GAM plots: partial effects, shifted y-axis, or predictions - which representations/interpretations are correct/accurate?

I have two GAMs fitted with a Gamma distribution, with the same model structure with a continuous response variable and one continuous covariate, two categorical covariates, and one random effect: <...
1 vote
61 views

### Interpretation of coefficients in fractional response (probit) model

I am learning about the estimation of fractional response models (those with a lower and upper bound, say 0 to 1), using Stata. I came across this example on the Stata page, which I'm copy-pasting ...
160 views

### Why do emtrends and summary(model) provide different coefficients for a linear effect?

Let's say we run a model with a three-way interaction that includes a quadratic term with its associated linear term: ...
178 views

### Can we estimate ATE (average treatment effect at the population level) using both marginal or conditional models?

If I understood correctly, in principle when we estimate an unconditional/unadjusted treatment effect, it means marginal effect and vice-versa. If so, I wonder if the average treatment effect (ATE) at ...
230 views

### Estimating and Interpreting the ATT with Regression Adjustment and Marginal Effects

I am beginning a project that will employ regression/covariate adjustment to estimate the average effect of treatment on the treated (ATT) and I realize that I have two questions concerning how one ...
1 vote
30 views

### Holding covariates constant to plot MLR model on 2d scatterplot in R

I am currently working with a MLR model comprising 1 numeric/continuous predictor variable (x1), several nominal categorical variables (x2 ... xi), and an interaction term between the continuous ...
67 views

### Pairwise marginal effects at specific quintiles STATA-like in R's marginaleffects

I would like to estimate marginal effects of two different variables. In STATA, I have a two-way fixed effects model of type: ...
338 views

### Predicting with GAM (mgcv) and categorical/factor covariate 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: ...
27 views

### What is the name of a plot that looks at the effect of ony one variable in a regression model? [duplicate]

In short: what is the name of the type of plot below? These seem like standard plots, so I don't want to rename them by accident (I'm giving a presentation on this). The code itself does not matter ...