unit root test;
multiple structural breaks;
break date estimation;
Monte Carlo simulations;
US macroeconomic variables;
OIL-PRICE SHOCK;
GREAT CRASH;
SERIES;
TRENDS;
D O I:
10.1080/02664760903039883
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
In this paper, we propose a new augmented Dickey-Fuller-type test for unit roots which accounts for two structural breaks. We consider two different specifications: (a) two breaks in the level of a trending data series and (b) two breaks in the level and slope of a trending data series. The breaks whose time of occurrence is assumed to be unknown are modeled as innovational outliers and thus take effect gradually. Using Monte Carlo simulations, we show that our proposed test has correct size, stable power, and identifies the structural breaks accurately.
机构:
Ocean Univ China, Sch Econ, Dept Finance, Qingdao 266100, Shandong, Peoples R ChinaOcean Univ China, Sch Econ, Dept Finance, Qingdao 266100, Shandong, Peoples R China
Su, Chi-Wei
Jiang, Xia
论文数: 0引用数: 0
h-index: 0
机构:
Qing Dao Univ, Int Business Coll, Qingdao 266071, Shandong, Peoples R ChinaOcean Univ China, Sch Econ, Dept Finance, Qingdao 266100, Shandong, Peoples R China
机构:
German Fed Employment Agcy, Res Inst, Inst Employment Res IAB, Regensburger St 104, D-90478 Nurnberg, Germany
Univ Erlangen Nurnberg, Chair Stat & Econometr, Lange Gasse 20, D-90403 Nurnberg, GermanyGerman Fed Employment Agcy, Res Inst, Inst Employment Res IAB, Regensburger St 104, D-90478 Nurnberg, Germany