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检测动态时间序列趋势函数断点的 Wald 型检验AI 解读

In this paper, test statistics for detecting a break at an unknown date in the trend function of a dynamic univariate time series are proposed. The tests are based on the mean and exponential statistics of Andrews and Ploberger (1994, Econometrica 62, 1383–1414) and the supremum statistic of Andrews (1993, Econometrica 61, 821–856). Their results are extended to allow trending and unit root regressors. Asymptotic results are derived for both I (0) and I (1) errors. When the…

均值变化时间序列的单位根检验：修正与扩展AI 解读

This note provides a correction to the treatment of the asymptotic distribution of tests for a unit root for the additive outlier model presented in Perron (1990). It is shown that the tests, as stated for that case, have asymptotic distributions that depend on the correlation structure of the data even if the appropriate order of the autoregression is selected. The authors present a simple modification that yields statistics with the same asymptotic distributions (free of…

非平稳性与水平突变：购买力平价应用AI 解读

The authors consider testing for a unit root in a time series with a structural change in mean occurring at an unknown date. They derive and tabulate the asymptotic distributions of the minimal t-statistic over all possible break points (and other related statistics) in the appropriate regressions. However, emphasis is given to the tabulation of finite sample critical values with particular attention given to the effect of various procedures to select the order of the…