An Alternative Approach to the Asymptotic Theory of Spurious Regression, Cointegration, and Near Cointegration
提出协整渐近理论的另一种方法，给出统计量极限分布的新表达式以精确计算分布函数，引入近协整概念并设计以协整为零假设的检验，讨论近协整备择下的局部渐近功效。
An alternative approach is taken to the asymptotic theory of cointegration. The present approach gives a different expression for the limiting distributions of statistics associated with cointegration, which enables us to compute accurately the distribution functions. Alternative interpretations of cointegration are given and a notion of near cointegration is introduced. We then devise tests which take cointegration as the null and discuss the limiting local power under the alternative of near cointegration.