2016
DOI: 10.1016/j.csda.2014.08.016
|View full text |Cite
|
Sign up to set email alerts
|

Bayesian model selection for unit root testing with multiple structural breaks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 67 publications
(68 reference statements)
0
1
0
Order By: Relevance
“…De Lee, Lee, and Chang 2009, p. 326, for a survey and Bakas and Papapetrou 2014, Bolat, Tiwari, and Erdayi 2014and Sandberg 2016. Today the literature also comprises many other approaches to unit root testing such as Bayesian analyses (Vosseler 2016), Smooth Transition models (Akdo¼ gan 2015), quantile unit root tests (Lee, Hu, Li, and Tsong 2013), Fourier unit root tests (Cheng, Wu, Lee, andChang 2014 andMeng et al 2017), just to name a few. Historically, there is a tendency that evidence of non-stationary unemployment rates is found for the EU countries while this is not the case for US data.…”
Section: Introductionmentioning
confidence: 99%
“…De Lee, Lee, and Chang 2009, p. 326, for a survey and Bakas and Papapetrou 2014, Bolat, Tiwari, and Erdayi 2014and Sandberg 2016. Today the literature also comprises many other approaches to unit root testing such as Bayesian analyses (Vosseler 2016), Smooth Transition models (Akdo¼ gan 2015), quantile unit root tests (Lee, Hu, Li, and Tsong 2013), Fourier unit root tests (Cheng, Wu, Lee, andChang 2014 andMeng et al 2017), just to name a few. Historically, there is a tendency that evidence of non-stationary unemployment rates is found for the EU countries while this is not the case for US data.…”
Section: Introductionmentioning
confidence: 99%