EconPapers    
Economics at your fingertips  
 

On maximum-likelihood estimation of the differencing parameter of fractionally integrated noise with unknown mean

Yin-Wong Cheung and Francis Diebold

No 34, Discussion Paper / Institute for Empirical Macroeconomics from Federal Reserve Bank of Minneapolis

Abstract: There are two approaches to maximum likelihood (ML) estimation of the parameter of fractionally-integrated noise: approximate frequency-domain ML (Fox and Taqqwu, 1986) and exact time-domain ML (Solwell, 1990a). If the mean of the process is known, then a clear finite-sample mean-squared error (MSE) ranking of the estimators emerges: the exact time-domain estimator has smaller MSE. We show in this paper, however, that the finite-sample efficiency of approximate frequency-domain ML relative to exact time-domain ML rises dramatically when the mean result is unknown and instead must be estimated. The intuition for our result is straightforward: The frequency-domain ML estimator is invariant to the true but unknown mean of the process, while the time-domain ML estimator is not. Feasible time-domain estimation must therefore be based upon de-meaned data, but the long memory associated with fractional integration makes precise estimation of the mean difficult. We conclude that the frequency-domain estimator is an attractive and efficient alternative for situations in which large sample sizes render time-domain estimation impractical.

Keywords: time; series; analysis (search for similar items in EconPapers)
Date: 1990
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.minneapolisfed.org/research/dp/dp34.pdf Full Text (application/pdf)

Related works:
Journal Article: On maximum likelihood estimation of the differencing parameter of fractionally-integrated noise with unknown mean (1994) Downloads
Working Paper: On maximum-likelihood estimation of the differencing parameter of fractionally integrated noise with unknown mean (1993)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fip:fedmem:34

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Discussion Paper / Institute for Empirical Macroeconomics from Federal Reserve Bank of Minneapolis Contact information at EDIRC.
Bibliographic data for series maintained by Jannelle Ruswick ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-30
Handle: RePEc:fip:fedmem:34