Summary In this paper we consider the situation where the deterministic components of the processes generating individual series are linear trends and the individual series are independent I(0) or I(1) processes. We show that when those time series are used in ordinary least squares regression, the phenomenon of spurious regression occurs regardless of whether a time trend is included in the regression.
This paper analyses the asymptotic and finite sample implications of different types of nonstationar...
In the time series analysis it often appears that two or more time series influence each other. When...
It is well-known that a linear regression among the levels of independent highly persistent processe...
We study the phenomenon of spurious regression between two random vari-ables, when the generating me...
A spurious regression occurs when a pair of independent series, but with strong temporal properties,...
This paper argues that trending time series can admit valid regression representations even when the...
Spurious regression phenomenon has been recognized for a wide range of Data Generating Processes: dr...
The spurious regression phenomenon in Least Squares occurs for a wide range of Data Generating Proce...
This paper studies the effects of spurious detrending in regression. The asymptotic behavior of tradi...
[[abstract]]This paper considers spurious regression between integrated processes with stable errors...
This paper analyses the asymptotic and finite sample implications of different types of nonstationar...
We study the phenomenon of spurious regression between two random variables,when the generating mech...
When a pair of independent series is highly persistent, there is a spurious regression bias in a reg...
When a pair of independent series are highly persistent, there is a spurious regression bias in a re...
This paper analyses the asymptotic and finite sample implications of a mixed nonstationary behavior ...
This paper analyses the asymptotic and finite sample implications of different types of nonstationar...
In the time series analysis it often appears that two or more time series influence each other. When...
It is well-known that a linear regression among the levels of independent highly persistent processe...
We study the phenomenon of spurious regression between two random vari-ables, when the generating me...
A spurious regression occurs when a pair of independent series, but with strong temporal properties,...
This paper argues that trending time series can admit valid regression representations even when the...
Spurious regression phenomenon has been recognized for a wide range of Data Generating Processes: dr...
The spurious regression phenomenon in Least Squares occurs for a wide range of Data Generating Proce...
This paper studies the effects of spurious detrending in regression. The asymptotic behavior of tradi...
[[abstract]]This paper considers spurious regression between integrated processes with stable errors...
This paper analyses the asymptotic and finite sample implications of different types of nonstationar...
We study the phenomenon of spurious regression between two random variables,when the generating mech...
When a pair of independent series is highly persistent, there is a spurious regression bias in a reg...
When a pair of independent series are highly persistent, there is a spurious regression bias in a re...
This paper analyses the asymptotic and finite sample implications of a mixed nonstationary behavior ...
This paper analyses the asymptotic and finite sample implications of different types of nonstationar...
In the time series analysis it often appears that two or more time series influence each other. When...
It is well-known that a linear regression among the levels of independent highly persistent processe...