Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22185 
Authors: 
Year of Publication: 
2004
Series/Report no.: 
Papers No. 2004,11
Publisher: 
Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE), Berlin
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.
Document Type: 
Working Paper

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