Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/238797 
Authors: 
Year of Publication: 
2011
Citation: 
[Journal:] International Econometric Review (IER) [ISSN:] 1308-8815 [Volume:] 3 [Issue:] 2 [Publisher:] Econometric Research Association (ERA) [Place:] Ankara [Year:] 2011 [Pages:] 22-33
Publisher: 
Econometric Research Association (ERA), Ankara
Abstract: 
Performance of unit root tests depends on several specification decisions prior to their application, e.g., whether or not to include a deterministic trend. Since there is no standard procedure for making such decisions; therefore, the practitioners routinely make several arbitrary specification decisions. In Monte Carlo studies, the design of data generating process supports these decisions, but for real data, such specification decisions are often unjustifiable and sometimes incompatible with data. We argue that the problems posed by choice of initial specification are quite complex and the existing voluminous literature on this issue treats only certain superficial aspects of this choice. Outcomes of unit root tests are very sensitive to both choice and sequencing of these arbitrary specifications. This means that we can obtain results of our choice from unit root tests by varying these specifications.
Subjects: 
Model Specification
Trend Stationary
Difference Stationary
JEL: 
C01
C15
C22
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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