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Linear Models with Autocorrelated Errors: Structural Identifiability in the Absence of Minimality Assumptions
Manfred Deistler
Jurgen Schrader
Abstract
The identifiability of linear dynamic models with autocorrelated errors is considered. Without a priori assuming relative left primeness of the structures, global identifiability conditions in the case of affine cross-equation restrictions and local identifiability conditions in the case of continuously differentiable cross-equation restrictions are derived.
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