Tests for Predictive Relationships between Time Series Variables: A Monte Carlo Investigation
用蒙特卡洛方法比较不同检验方法在双变量时间序列模型中的表现，帮助研究者理解检验的统计性质并解释实证中结论不一致的现象。
Abstract Bivariate time series models have been used extensively to analyze the relationship between pairs of economic variables. Various tests have been proposed that can be used to examine the adequacy of specific models. The empirical literature is noteworthy for the frequency with which different authors using different tests reach different conclusions, and for the apparent lack of evidence for certain relationships strongly suggested by economic theory. The objective of this study is to use Monte Carlo methods to examine the size and power of alternative tests, and to relate these findings to the analytical structure of the tests. Key Words: Monte CarloARIMA modelsCausality tests