基于ESTAR模型的單位根檢驗(yàn)——Wald統(tǒng)計(jì)量的研究
發(fā)布時(shí)間:2019-04-24 16:05
【摘要】:已有的基于ESTAR模型的單位根檢驗(yàn)通常假設(shè)α=0,但實(shí)踐研究表明α顯著。對(duì)α≠0的情況進(jìn)行單位根檢驗(yàn),研究該情形下的Wald檢驗(yàn)統(tǒng)計(jì)量。從理論上推導(dǎo)了Wald檢驗(yàn)統(tǒng)計(jì)量的極限分布,并通過Monte Carlo隨機(jī)模擬,結(jié)果表明該統(tǒng)計(jì)量有效。
[Abstract]:Previous unit root tests based on ESTAR models usually assume 偽 = 0, but practical studies show that 偽 is significant. In the case of 偽 鈮,
本文編號(hào):2464581
[Abstract]:Previous unit root tests based on ESTAR models usually assume 偽 = 0, but practical studies show that 偽 is significant. In the case of 偽 鈮,
本文編號(hào):2464581
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