Valid Inference in Partially Unstable GMM Models

Hong Li and Ulrich Mueller

MPRA Paper from University Library of Munich, Germany

Abstract: The paper considers time series GMM models where a subset of the parameters are time varying. The magnitude of the time variation in the unstable parameters is such that efficient tests detect the instability with (possibly high) probability smaller than one, even in the limit. We show that for many forms of the instability and a large class of GMM models, standard GMM inference on the subset of stable parameters, ignoring the partial instability, remains asymptotically valid.

Keywords: Structural Breaks; Parameter Stability Test; Contiguity; Euler Condition; New Keynesian Phillips Curve (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
Date: 2006-08
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:2261

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