Time-Series Near-Neighbor Regression
Jaditz Ted and
Riddick Leigh A.
Additional contact information
Jaditz Ted: CNA Corporation
Riddick Leigh A.: American University
Studies in Nonlinear Dynamics & Econometrics, 2000, vol. 4, issue 1, 11
Abstract:
Near-neighbor regression is a popular empirical tool. In this note, we describe the general algorithm for the technique and we identify several potential problem areas that researchers should consider. Standard statistical packages are generally inflexible, and hide important modeling decisions from the researcher. We provide code for a simple but very flexible routine that readers can customize for their own use.
Keywords: near-neighbor; nonparametric; stationary time series (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://doi.org/10.2202/1558-3708.1054 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:sndecm:v:4:y:2000:i:1:n:al1
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/snde/html
DOI: 10.2202/1558-3708.1054
Access Statistics for this article
Studies in Nonlinear Dynamics & Econometrics is currently edited by Bruce Mizrach
More articles in Studies in Nonlinear Dynamics & Econometrics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().