Abstract
In this paper we propose a low-pass spectral filter method to estimate cointegrating vectors. The simulation study shows that the small sample properties of the proposed estimators are quite appealing. For the low signal to noise ratio cases in which fully modified least squares (FMLS) is better than ordinary least squares (OLS), filtered least squares beats OLS and filtered FMLS is dominantly better than the FMLS.
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