Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/206713
Authors: 
Dezhbakhsh, Hashem
Levy, Daniel
Year of Publication: 
1994
Citation: 
[Journal:] Economics Letters [ISSN:] ‎0165-1765 [Volume:] 44 [Issue:] 3 [Pages:] 221-228
Abstract: 
Although linearly interpolated series are often used in economics, little has been done to examine the effects of interpolation on time-series properties and on statistical inference. We show that linear interpolation of a trend stationary series superimposes a ‘periodic’ structure on the moments of the series. Using conventional time-series methods to make inference about the interpolated series may therefore be invalid. Also, the interpolated series may exhibit more shock persistence than the original trend stationary series.
Subjects: 
Linear Interpolation
Trend-Stationary Series
Shock Persistence
Periodic Properties of Time Series
JEL: 
C10
Published Version’s DOI: 
Document Type: 
Article
Document Version: 
Accepted Manuscript (Postprint)

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