Dynamic seemingly unrelated cointegrating regressions

Nelson C. Mark, Masao Ogaki, Donggyu Sul

Research output: Contribution to journalArticle

74 Citations (Scopus)

Abstract

We propose the parametric Dynamic Seemingly Unrelated Regression (DSUR) estimator for simultaneous estimation of multiple cointegrating regressions. DSUR is efficient when the equilibrium errors are correlated across equations and is applicable for panel cointegration estimation in environments where the cross section is small relative to the available time series. We study the asymptotic and small sample properties of the DSUR estimator for both heterogeneous and homogeneous cointegrating vectors. We then apply the method to analyse two long-standing problems in international economics. Our first application revisits the estimation of long-run correlations between national investment and national saving. Our second application revisits the question of whether the forward exchange rate is an unbiased predictor of the future spot rate.

Original languageEnglish
Pages (from-to)797-820
Number of pages24
JournalReview of Economic Studies
Volume72
Issue number3
DOIs
Publication statusPublished - 2005 Jul
Externally publishedYes

Fingerprint

Seemingly unrelated regression
Estimator
National saving
Predictors
Multiple regression
Forward exchange rates
Panel cointegration
Small sample properties
International economics
Cross section

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Dynamic seemingly unrelated cointegrating regressions. / Mark, Nelson C.; Ogaki, Masao; Sul, Donggyu.

In: Review of Economic Studies, Vol. 72, No. 3, 07.2005, p. 797-820.

Research output: Contribution to journalArticle

Mark, Nelson C. ; Ogaki, Masao ; Sul, Donggyu. / Dynamic seemingly unrelated cointegrating regressions. In: Review of Economic Studies. 2005 ; Vol. 72, No. 3. pp. 797-820.
@article{4ff70abeb97a454c87472232c29682b7,
title = "Dynamic seemingly unrelated cointegrating regressions",
abstract = "We propose the parametric Dynamic Seemingly Unrelated Regression (DSUR) estimator for simultaneous estimation of multiple cointegrating regressions. DSUR is efficient when the equilibrium errors are correlated across equations and is applicable for panel cointegration estimation in environments where the cross section is small relative to the available time series. We study the asymptotic and small sample properties of the DSUR estimator for both heterogeneous and homogeneous cointegrating vectors. We then apply the method to analyse two long-standing problems in international economics. Our first application revisits the estimation of long-run correlations between national investment and national saving. Our second application revisits the question of whether the forward exchange rate is an unbiased predictor of the future spot rate.",
author = "Mark, {Nelson C.} and Masao Ogaki and Donggyu Sul",
year = "2005",
month = "7",
doi = "10.1111/j.1467-937X.2005.00352.x",
language = "English",
volume = "72",
pages = "797--820",
journal = "Review of Economic Studies",
issn = "0034-6527",
publisher = "Oxford University Press",
number = "3",

}

TY - JOUR

T1 - Dynamic seemingly unrelated cointegrating regressions

AU - Mark, Nelson C.

AU - Ogaki, Masao

AU - Sul, Donggyu

PY - 2005/7

Y1 - 2005/7

N2 - We propose the parametric Dynamic Seemingly Unrelated Regression (DSUR) estimator for simultaneous estimation of multiple cointegrating regressions. DSUR is efficient when the equilibrium errors are correlated across equations and is applicable for panel cointegration estimation in environments where the cross section is small relative to the available time series. We study the asymptotic and small sample properties of the DSUR estimator for both heterogeneous and homogeneous cointegrating vectors. We then apply the method to analyse two long-standing problems in international economics. Our first application revisits the estimation of long-run correlations between national investment and national saving. Our second application revisits the question of whether the forward exchange rate is an unbiased predictor of the future spot rate.

AB - We propose the parametric Dynamic Seemingly Unrelated Regression (DSUR) estimator for simultaneous estimation of multiple cointegrating regressions. DSUR is efficient when the equilibrium errors are correlated across equations and is applicable for panel cointegration estimation in environments where the cross section is small relative to the available time series. We study the asymptotic and small sample properties of the DSUR estimator for both heterogeneous and homogeneous cointegrating vectors. We then apply the method to analyse two long-standing problems in international economics. Our first application revisits the estimation of long-run correlations between national investment and national saving. Our second application revisits the question of whether the forward exchange rate is an unbiased predictor of the future spot rate.

UR - http://www.scopus.com/inward/record.url?scp=22144482315&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=22144482315&partnerID=8YFLogxK

U2 - 10.1111/j.1467-937X.2005.00352.x

DO - 10.1111/j.1467-937X.2005.00352.x

M3 - Article

VL - 72

SP - 797

EP - 820

JO - Review of Economic Studies

JF - Review of Economic Studies

SN - 0034-6527

IS - 3

ER -