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Dynamic Seemingly Unrelated Cointegrating Regressions

机译:动态看似无关的协整回归

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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.
机译:我们建议使用参数动态似然无关回归(DSUR)估计器来同时估计多个协整回归。当平衡误差在各个方程式之间相关时,DSUR非常有效,适用于横截面相对于可用横截面较小的环境中的面板协整估计我们研究了DSUR估计的渐近和小样本性质(对于异质和齐次协整向量),然后将其应用于分析国际经济学中两个长期存在的问题。我们的第一个应用是重新评估长期相关性的估计我们的第二个应用程序重新审视了远期汇率是否是未来即期汇率的无偏预测因素的问题。

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