Questions tagged [fixed-effects-model]
In biostatistics, fixed-effects may mean population-average effects. In econometrics, fixed-effects may represent the observed quantities in terms of explanatory variables that are treated as if the quantities were non-random.
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Stationarity in the Explanatory Variable(s) in a Fixed Effects Model [closed]
I have a fixed effects model of the form:
$y_t = \alpha + \beta * x_t + \epsilon$.
The response variable $y_t$ is stationary. I estimated $\alpha$ and $\beta$ using ordinary least squares (OLS).
My ...
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Model comparison with different fixed effects - LMM
I tried to find answers to this, but couldn't manage to do so. So in my research, one of the main questions that I have is to assess the effects of these three food groups (milk, grain, and vegetables)...
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Why does my fixed effect model perform better than my random effect model?
I've written a small simulation below to try and understand the differences in performance between fixed and random effects in a model.
I am imagining a bunch of eggs incubated together in a clutch (i....
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Modeling fixed effect, time variable, and errors for dyadic daily diary study using MPlus
I'm trying to analyse dyadic daily diary data using a multilevel model on MPlus. The dyads are distinguishable (women and men).
I would like to see whether attachment (trait level, measured only once ...
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Clustered/Paneled data Unconditional vs conditonal fixed effect models
I am reading Generalized Estimating Equations by James Hardin and Joseph Hilbe (2002) and confused about the differences between unconditional and conditional fixed effect models.
In section 2.3.2 ...
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Fitting mixed effect model to factorial survey data
I am currently conducting an online survey in a factorial setting ("vignette study"). I have 8 vignettes in total, varying in three dimensions (let us call them Dimension A, Dimension B and ...
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Indicator dummies vs weighted regression for Stratified Experiments
I'm reading Field Experiments by Gerber and Green; unfortunately, there is no free PDF online to link so allow me to offer the context.
The authors describe a scenario where scientists design an ...
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Micro modeling and controlling for a variable
I am a little confused and would like to seek for help. I will try to simplify my scenario: I have a theoretical model which controls say for fixed effects and other variables. The regressions are ...
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Random effect predictor independence assumption
I'm trying to understand the assumptions of random effects and when they should / should not be used.
(Hypothetical data) Let's suppose that we have a breathing scores for patients; for simplicity, ...
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Multicolllinearity with Sun and Abraham time fixed-effects in cross-sectional (non-panel) event studies (birth cohort in my case ,*not* calendar time)
I want to preface this by noting that I am an undergraduate, so my apologies if I seem to be making glaring mistakes.
I'm conducting an event study where I have cross-sectional data, and not panel ...
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PLM, LM, and FEOLS Giving Different Coefficient Estimates when weights are added. How may PLM be using weights differently?
Originally, I was attempting to add more robust SEs for my PLM model with weights. So, I switched my model over to FEOLS, but noticed it was giving a different estimate than PLM. Taking the weights ...
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Should I use lme4::lmer or nlme::lme for a repeated measures frog phonotaxis experiment with low between-subject variance?
I'm analyzing data from a frog phonotaxis experiment where I tested 17 females, each undergoing two trials. In each trial, a female was placed in a choice arena and exposed to two different acoustic ...
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Regarding fixed-effects, dataset, and suitable analysis
I am currently working on a panel data consist of ~40 firms within 2019-2023 to find the effect of IV at country-level (its an index different across countries and time-varying) on DV that is firm-...
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Year Fixed effects with robust standard errors
I'm currently running an analysis using four years of survey data. I've included year or survey fixed effects, but I'm unsure how to handle standard errors. Since there are only four clusters, I'm not ...
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Should I include year fixed-effects in a differences-in-differences model with multiple years, one treated group and only one treatment time?
I'm looking at the effect of a law on a continuous outcome. The law was implemented in a specific year and only affected the treated group. I don’t have more detailed data - just a column for year (I ...
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