协整误差校正检验的分布

Neil R. Ericsson, J. MacKinnon
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引用次数: 361

摘要

本文为检验协整的单方程误差校正统计量提供了累积分布函数、密度和有限样本临界值。图形和响应面总结了广泛的蒙特卡罗模拟,并突出了统计量的分位数对误差修正模型中变量数量、确定性成分的选择和估计样本量的简单依赖关系。响应面为计算标准水平的有限样本临界值提供了一种方便的方法;还有一个可以在互联网上免费获得的计算机程序,可以用来计算临界值和p值。三个实证例子说明了这些工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributions of Error Correction Tests for Cointegration
This paper provides cumulative distribution functions, densities, and finite sample critical values for the single-equation error correction statistic for testing cointegration. Graphs and response surfaces summarize extensive Monte Carlo simulations and highlight simple dependencies of the statistic's quantiles on the number of variables in the error correction model, the choice of deterministic components, and the estimation sample size. The response surfaces provide a convenient way for calculating finite sample critical values at standard levels; and a computer program, freely available over the Internet, can be used to calculate both critical values and p-values. Three empirical examples illustrate these tools.
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