Unbiased Analysis of Today's Healthcare Issues

Fixed vs. Random Effects in Meta-Analyses

What does fixed effects and random effects mean? For economists, fixed effects means The fixed effects model is a linear regression of y on x, that adds to the speci cation a series of indicator variables.  For example, one could include a series of country dummies in comparative time series cross-sectional data to account for unexplained […]

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Fixed Effects Logit Estimator and the Incidental Parameter Problem

Fixed effects (FE) regressions are a useful tool for controlling for time-invariant factors in a regression specification.  When using a linear OLS model, FE represent the average value of the dependent variable for that individual after controlling for covariates.  Estimating a fixed effects model for non-linear regressions, however, can be problematic. For instance, if you […]

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