The deletion of missing values should be performed ex ante. View One way of writing the fixed-effects model is y it = a + x it b + v i + e it (1) . An alternative in Stata is to absorb one of the fixed-effects by using xtreg or areg. One way of writing the fixed-effects model is . Run sureg in Stata. Since -xtreg- does not estimate these coefficients, I cannot use the -estout- option -indicate( )- to do this. For example, I have a large dataset of children (many siblings) and want to include family-level fixed effects (i.e. If you use sureg, you have to add a fixed effect for every member of the panel, and adjust the SE for clustering. We use the notation y[i,t] = X[i,t]*b + u[i] + v[i,t] That is, u[i] is the fixed or random effect and v[i,t] is the pure residual. Fixed effects You could add time effects to the entity effects model to have a time and entity fixed effects regression model: Y it = β 0 + β 1X 1,it +…+ β kX k,it + γ 2E 2 +…+ γ nE n + δ 2T 2 +…+ δ tT t + u it [eq.3] Where –Y it is the dependent variable (DV) where i = … If you want to include dummy variables for one dimension (time) and cluster by another dimension, you need to create the dummy variables. This is the most efficient method when you have a small number of categories and care about the estimated value of the fixed effect for each category. xtreg is Stata's feature for fitting fixed- and random-effects … The results that xtreg, fe reports have simply been reformulated so that the reported intercept is the average value of the fixed effects.. Intuition. Fixed Effects. where v i (i=1, ..., n) are simply the fixed effects to be estimated. Fixed effects should not be nested, but connected as described in Abowd, Creecy, Kramarz (2002). I essentially want to run an IV model in which I incorporate a bunch of dummies (but I don't have a traditional panel variable and time variable). Thus, I suspect that the firm fixed effects and industry fixed effects are collineair. Fixed Effects. With no further constraints, the parameters a and v i do not have a unique solution. The results that xtreg, fe reports have simply been reformulated so that the reported intercept is the average value of the fixed effects. Stata fits fixed-effects (within), between-effects, and random-effects (mixed) models on balanced and unbalanced data. Use areg or xtreg Stata has two built-in commands to implement fixed effects models: areg and xtreg, fe. Intuition. However, this still leaves you with a huge matrix to invert, as the time-fixed effects are huge; inverting this matrix will still take ages. Standard errors can be computed by boostrapping. 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