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Dynamic Seemingly Unrelated Cointegrating Regressions

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  • Nelson C. Mark
  • Masao Ogaki
  • Donggyu Sul

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. Copyright 2005, Wiley-Blackwell.

Suggested Citation

  • Nelson C. Mark & Masao Ogaki & Donggyu Sul, 2005. "Dynamic Seemingly Unrelated Cointegrating Regressions," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 797-820.
  • Handle: RePEc:oup:restud:v:72:y:2005:i:3:p:797-820
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    File URL: http://hdl.handle.net/10.1111/j.1467-937X.2005.00352.x
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    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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