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Oracle Efficient Variable Selection in Random and Fixed Effects Panel Data Models
, 2010 Anders Kock
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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 +2 more
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Fixed-effect Versus Random-effects Models for Meta-analyses: Fixed-effect Models
European Urology Focus, 2023A 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 +2 more
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Fixed- and Random-Effects Models
2021Deciding 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.
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Fixed Effects and Random Effects
2008One of the major benefits from using panel data as compared to cross-section data on individuals is that it enables us to control for individual heterogeneity. Not controlling for these unobserved individual specific effects leads to bias in the resulting estimates.
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On the Unidentifiability of the Fixed-Effects 3PL Model
Psychometrika, 2015The 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 +2 more
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Are Fixed Effects Fixed? [PDF]
, 1997 In attempts to overcome the problem of omitted variables, the assumption of fixed effects is widely implemented when working with panel data. This paper examines the validity of this technique, in the context of estimating a production function using panels of US textile plants.
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Latent Variable Models with Fixed Effects
Biometrics, 1996We discuss latent variable models that allow for fixed effect covariates, as well as covariates affecting the latent variable directly. Restricted maximum likelihood and maximum likelihood are used to estimate model parameters. A generalized likelihood ratio test can be used to test significance of the covariates effecting the latent outcomes.
Sammel, Mary Dupuis, Ryan, Louise M.
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Chitinase and peroxidase in effective (fix+) and ineffective (fix?) soybean nodules
Planta, 1992Chitinase and peroxidase, two enzymes thought to be involved in the defense of plants against pathogens, were measured in soybean (Glycine max L. Merr.) roots and in nodules colonized by Bradyrhizobium japonicum strains differing in their symbiotic potential. Activities of both enzymes were higher in nodules than in roots.
Staehelin C +4 more
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Fixed Effect Models and Fixed Coefficient Models
1992As noted in the introductory chapter, the simplest and most intuitive way to account for individual and/or time differences in behaviour, in the context of a panel data regression problem, is to assume that some of the regression coefficients are allowed to vary across individuals and/or through time.
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