Results 211 to 220 of about 2,148,575 (265)

Broken or Fixed Effects? [PDF]

Journal of Econometric Methods, 2018
Abstract We replicate eight influential papers to provide empirical evidence that, in the presence of heterogeneous treatment effects, OLS with fixed effects (FE) is generally not a consistent estimator of the average treatment effect (ATE).
Charles E. Gibbons, Juan Carlos Suárez Serrato, Michael B. Urbancic   +2 more
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Fixed-effect Versus Random-effects Models for Meta-analyses: Fixed-effect Models

European Urology Focus, 2023
A fixed-effect model considers a common underlying effect size for all the studies included in a meta-analysis. In the face of appreciable between-study heterogeneity, a fixed-effect model is a valuable tool when precision is the priority.
Hadi Mostafaei, Morteza Ghojazadeh, Sakineh Hajebrahimi   +2 more
openaire   +2 more sources

Fixed- and Random-Effects Models

2021
Deciding whether to use a fixed-effect model or a random-effects model is a primary decision an analyst must make when combining the results from multiple studies through meta-analysis. Both modeling approaches estimate a single effect size of interest.
openaire   +2 more sources

On the Unidentifiability of the Fixed-Effects 3PL Model

Psychometrika, 2015
The paper offers a general review of the basic concepts of both statistical model and parameter identification, and revisits the conceptual relationships between parameter identification and both parameter interpretability and properties of parameter estimates. All these issues are then exemplified for the 1PL, 2PL, and 1PL-G fixed-effects models.
San Martín, Ernesto, González Burgos, Jorge Andrés, Tuerlinckx, Francis   +2 more
openaire   +4 more sources