EconPapers    
Economics at your fingertips  
 

Fitting polynomial trend to time series by the method of Buys-Ballot estimators

U. C. Nduka, S. I. Iwueze and E. C. Nwogu

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 9, 4520-4538

Abstract: The statistical properties of two closed-form estimators of the parameters of the quadratic time trend model are derived. The estimators are based on the derived variables from Buys-Ballot table. The estimators are derived by assuming that error term is identically and independently distributed. However, the validity of this assumption is sometimes difficult to verify. We also study, through simulations, the impact of misspecifying the error distribution on the estimation and prediction accuracy in the quadratic time trend model. It is shown that the estimators are inconsistent in the presence of misspecification. T methods are illustrated with real-life examples.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2015.1085569 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:taf:lstaxx:v:46:y:2017:i:9:p:4520-4538

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2015.1085569

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:46:y:2017:i:9:p:4520-4538