Simultaneous Equations Assumptions
Multiple regression equations comprise a single set of models
Regressors in some of the equations are dependent variables in other equations
Independence
Homoskedasticity
Linearity
Normality
Seemingly Unrelated Regression (SUR) Assumptions
Multiple regression equations comprise a single set of models.
Independence within equations but not necessarily across equations
Homoskedasticity
Exogeneity
Linearity
Normality
Logit/Probit/Tobit Assumptions
Dependent variable is discrete.
Homoskedasticity
Independence
Exogeneity