ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends. Conventional fully modified estimation is demonstrated to be inadequate for valid asymptotic inference. As a solution, we employ simulation‐based methods. Building on this concept, we also introduce a simulation‐based procedure to combine subsampling KPSS tests. This approach significantly improves empirical power compared to the existing Bonferroni procedure. Applying our framework to the environmental Kuznets curve, we find reduced evidence that recent environmental improvement can be attributed solely to economic growth.

Yicong Lin

Hanno Reuvers

Journal of Time Series Analysis

在过去的 30 年中，时间序列分析已成为数理统计中最重要和最广泛使用的分支之一。其应用领域从神经生理学到天体物理学，涵盖经济预测、生物数据研究、控制系统、信号处理与通信和振动工程等知名领域。《时间序列分析杂志》创刊于 1980 年，现已成为该领域的领先期刊，发表关于基础理论和应用的论文，以及涉及该主题主要领域最新进展的评论论文和关于理论发展的简短交流。编委由许多世界领先的时间序列分析专家组成。

Over the past 30 years, time series analysis has become one of the most important and widely used branches of mathematical statistics. Its applications span various fields, from neurophysiology to astrophysics, including economic forecasting, biological data research, control systems, signal processing and communication, and vibration engineering. The Journal of Time Series Analysis was established in 1980 and has since become a leading journal in this field, publishing research papers on fundamental theories and applications, as well as review articles on the latest developments in major areas related to the topic and brief communications on theoretical advancements. The editorial board consists of many of the world's leading experts in time series analysis.

在过去的30年中，时间序列分析已成为数理统计中最重要和最广泛使用的分支之一。它的应用领域涵盖了从神经生理学到天体物理学的多个领域，包括经济预测、生物数据研究、控制系统、信号处理与通信以及振动工程等。《Journal of Time Series Analysis》创刊于1980年，现已成为该领域的领先期刊，发表关于基础理论和应用的研究论文，以及涉及该主题主要领域最新进展的评论论文和关于理论发展的简短交流。期刊的编委会由许多世界领先的时间序列分析专家组成。

Category	Quartile
数学	4
数学, 数学跨学科应用	4
数学, 统计学与概率论	4

Cointegrating Polynomial Regressions With Power Law Trends

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Journal Info

Category	Quartile
STATISTICS & PROBABILITY	2