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Bias Reduced Band Spectrum Least Squares in Fractional

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  • Changsik Kim

Abstract

Band spectrum regression procedure in a bivariate model of fractional nonstationary cointegration is proposed. Both variables and cointegrating error in the system are assumed to be fractionally integrated processes. The orders of integrations are unknown, but no need to be pre-estimated. The proposed estimator can reduce bias by modifying a frequency domain regression, and it is just a simple least squares and easy to use. Unlike other available estimation procedures, the estimator is free from any preliminary estimation of short memory components and fractional parameter. It is also expected to be less volatile and more reliable, which can be confirmed by finite sample performances. A limited version of asymptotic theory will be developed and some simulation results will also be provided.

Suggested Citation

  • Changsik Kim, 2004. "Bias Reduced Band Spectrum Least Squares in Fractional," Econometric Society 2004 Far Eastern Meetings 798, Econometric Society.
    • Handle: RePEc:ecm:feam04:798
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    Keywords

    Band spectrum regression;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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