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This paper considers unit root testing of time-series data with missing observations. Three procedures for dealing with the gaps are discussed. These include: ignoring the gaps, replacing the gaps with the last available observation, and filling the gaps with a linear interpolation method. The...
Persistent link: https://www.econbiz.de/10005800944
This paper considers unit root testing of time-series data with missing observations. Three procedures for dealing with the gaps are discussed. These include: ignoring the gaps, replacing the gaps with the last available observation, and filling the gaps with a linear interpolation method. The...
Persistent link: https://www.econbiz.de/10005801976