Fixed and Random Effects Central to the idea of variance components models is the idea of fixed and random effects. Each effect in a variance components model must be classified as either a fixed or a ...

This technical note discusses fixed effects models. Though a unified example, the note shows how omitted variable bias can plague estimates in cross-section regressions and how focusing attention on ...

Purushottam Papatla, A Multiplicative Fixed-Effects Model of Consumer Choice, Marketing Science, Vol. 15, No. 3 (1996), pp. 243-261 ...

This paper generalizes the Durbin-Watson type statistics to test the OLS residuals from the fixed effects model for serial independence. Also generalized are the tests proposed by Sargan and Bhargava ...

Using this model I quantify how selection transforms the correlation between the effects of a new (random) mutation into the correlation between the effects of a mutation that is fixed by ...

PROC GLM versus PROC MIXED for Random Effects Analysis Other SAS procedures that can be used to analyze models with random effects include the MIXED and VARCOMP procedures. Note that, for these ...