Linearity tests and stochastic trend under the STAR framework

Lingxiang Zhang*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This study investigates the linearity test of smooth transition autoregressive models when the true data generating process is a stochastic trend process. Results show that, under the null hypothesis of linearity, the asymptotic distribution of the W statistic proposed by Teräsvirta (J Am Stat Assoc 89:208–218, 1994) follows the χ2 distribution, whereas the finite sample distribution does not. A maximized Monte Carlo simulation-based test is used to perform the linearity test, and the results show good performance.

    Original languageEnglish
    Pages (from-to)2271-2282
    Number of pages12
    JournalStatistical Papers
    Volume61
    Issue number6
    DOIs
    Publication statusPublished - 1 Dec 2020

    Keywords

    • Linearity
    • Maximized Monte Carlo simulation-based test
    • STAR
    • Stochastic trend

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