Dealing with serially correlated errors in the context of spurious regression for two independent stationary AR(1) processes

被引:0
|
作者
Agiakloglou, Christos [1 ]
Agiropoulos, Charalampos [1 ]
机构
[1] Univ Piraeus, Dept Econ, Karaoli & Dimitriou 80, Piraeus 18534, Greece
关键词
Serially correlated errors; spurious regression; independent stationary AR(1) processes; simple regression model;
D O I
10.1080/13504851.2021.1881427
中图分类号
F [经济];
学科分类号
02 ;
摘要
Serially correlated errors are most likely to appear in regression analysis when time-series data are used either as a true symptom of autocorrelation or as an indication of a false specification among variables. This study examines the problem of serially correlated errors in the context of spurious regression for two independent stationary AR(1) processes, showing evidence of removing the presence of both symptoms using a Monte Carlo analysis.
引用
收藏
页码:619 / 625
页数:7
相关论文
共 9 条