Dynamic seemingly unrelated cointegrating regressions

Nelson C. Mark, Masao Ogaki, Donggyu Sul

Research output: Contribution to journalArticlepeer-review

128 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

ASJC Scopus subject areas

  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Dynamic seemingly unrelated cointegrating regressions'. Together they form a unique fingerprint.

Cite this