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 language | English |
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Pages (from-to) | 2271-2282 |
Number of pages | 12 |
Journal | Statistical Papers |
Volume | 61 |
Issue number | 6 |
DOIs | |
Publication status | Published - 1 Dec 2020 |
Keywords
- Linearity
- Maximized Monte Carlo simulation-based test
- STAR
- Stochastic trend