(Non) Linear Regression Modeling

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.

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Year of publication:	2004
Authors:	Čížek, Pavel
Institutions:	Center for Applied Statistics and Econometrics (CASE), Humboldt-Universität Berlin

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Extent:	application/pdf
Series:	Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 2004,11
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009228848