自轮廓:动态设定检验

Autocontours: Dynamic Specification Testing

Journal of Business & Economic Statistics · 2010
被引 14
人大 AABS 4

中文导读

提出一种基于独立同分布随机变量基本性质的新动态设定检验方法,通过自轮廓形状对偏离原假设的敏感性提高检验功效,并应用于交易持续期的自回归条件持续期模型。

Abstract

We propose a new battery of dynamic specification tests for the joint hypothesis of iid-ness and density function based on the fundamental properties of independent random variables with identical distributions. We introduce a device-the autocontour-whose shape is very sensitive to departures from the null in either direction, thus providing superior power. The tests are parametric with asymptotic t and chi-squared limiting distributions and standard convergence rates. They do not require a transformation of the original data or a Kolmogorov style assessment of goodness-of-fit, explicitly account for parameter uncertainty, and have superior finite sample properties. An application to autoregressive conditional duration (ACD) models for trade durations shows that the difficulty with the assumed densities lies on the probability assigned to very small durations. Supplemental materials for this article are available online.

动态规范检验自轮廓独立同分布假设参数不确定性