Finite sample improvements in statistical inference with I(1) processes

Marinucci, D. and Robinson, Peter (2001) Finite sample improvements in statistical inference with I(1) processes. Econometrics; EM/2001/422 (EM/01/422). Suntory and Toyota International Centres for Economics and Related Disciplines, London.

Preview

PDF Download (195kB) | Preview

Abstract

Robinson and Marinucci (1998) investigated the asymptotic behaviour of a narrow-band semiparametric procedure termed Frequency Domain Least Squares (FDLS) in the broad context of fractional cointegration analysis. Here we restrict to the standard case when the data are I(1) and the cointegrating errors are I(0), proving that modifications of the Fully-Modified Ordinary Least Squares (FM-OLS) procedure of Phillips and Hansen (1990) which use the FDLS idea have the same asymptotically desirable properties as FM-OLS, and, on the basis of a Monte Carlo study, find evidence that they have superior finite-sample properties; the new procedures are also shown to compare satisfactorily with parametric estimates.

Item Type:	Monograph (Discussion Paper)
Official URL:	http://sticerd.lse.ac.uk
Additional Information:	© 2001 the authors
Divisions:	Economics STICERD
Subjects:	H Social Sciences > HB Economic Theory
JEL classification:	C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C22 - Time-Series Models
Date Deposited:	27 Apr 2007
Last Modified:	13 Sep 2024 19:44
URI:	http://eprints.lse.ac.uk/id/eprint/2161

Actions (login required)

View Item