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Biased Estimation in a Simple Extension of a Standard Error Correction Model

Christian Müller-Kademann

Swiss Journal of Economics and Statistics (SJES), 2009, vol. 145, issue I, 37-60

Abstract: This paper considers an expectations augmented version of the Engle and Granger (1987) error correction model and shows that standard inference about the adjustment coefficients can be severely biased. This has implications for long–run causality and impulse–response analysis in particular. However, a sometimes simple remedy exists which only requires some additional regressions. The results are illustrated using U.S., German and Swiss data.

Keywords: policy analysis; forecasting; rational expectations; error correction (search for similar items in EconPapers)
JEL-codes: C32 C51 E37 E47 (search for similar items in EconPapers)
Date: 2009
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