Journal of the Japan Statistical Society, Japanese Issue
Online ISSN : 2189-1478
Print ISSN : 0389-5602
ISSN-L : 0389-5602
Article
Cumulative Distribution Function and Probability Density Function of the Continuous Transitional Limiting Distribution of Normalized OLS Estimator
Hiroyuki Hisamatsu
Author information
JOURNAL FREE ACCESS

2021 Volume 50 Issue 2 Pages 205-228

Details
Abstract

This paper derives the cumulative distribution function and probability density function of the continuous transitional distribution of normalized Ordinary Least Squares (OLS) estimator for autoregressive process with local to moderate deviations from unity root. The derivation of these distributions is based on the asymptotic results in Phillips, Magdalinos and Giraitis (2010). The approach is one of first deriving the asymptotic joint characteristic function of the numerator and denominator of the normalized OLS estimator and then inverting it by numerical integration to find these distributions. We present some graphs to illustrate the behavior of smooth transition. We also provide tables of percentile of the limiting distribution of normalized OLS estimator and assess the approximate accuracy of the distribution in detail.

Content from these authors
© 2021 Japan Statistical Society
Next article
feedback
Top