In econometrics, the seemingly unrelated regressions (SUR)[1] or seemingly unrelated regression equations (SURE)[2] model, proposed by Arnold Zellner in (1962), is a generalization of a linear regression model that consists of several regression equations, each having its own dependent variable and potentially different sets of exogenous explanatory variables. Each equation is a valid linear regression on its own and can be estimated separately, which is why the system is called seemingly unrelated,[3] although some authors[4] suggest that the term seemingly related would be more appropriate, since the error terms are assumed to be correlated across the equations.
CITATION STYLE
Baltagi, B. H. (2011). Seemingly Unrelated Regressions. In Econometrics (pp. 241–256). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-20059-5_10
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