(Non) Linear Regression Modeling

Pavel Cizek

No 2004,11, Papers from Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE)

Abstract: We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1, . . . , Yl), l ∈ N, which are explained by a model, and independent (exogenous, explanatory) variables X = (X1, . . . ,Xp), p ∈ N, which explain or predict the dependent variables by means of the model. Such relationships and models are commonly referred to as regression models.

Date: 2004
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