Add to ORKGIn this paper we consider the situation where two independent random walks are used in various frequently-employed nonlinear test and estimation procedures. We show analytically and by simulation that all nonlinear test and estimation procedures wrongly indicate that (i) the two independent random walks have a significant nonlinear relationship, and (ii) the spurious nonlinear relationship becomes stronger as the sample size approaches infinity
Random field regression models provide an extremely flexible way to investigate nonlinearity in eco...
Some statistics practitioners often ignore the underlying assumptions when analyzing a real data and...
We study the phenomenon of spurious regression between two random variables,when the generating mech...
In this paper we consider the situation where two independent random walks are used in various frequ...
This paper provides an analytical study of spurious regressions involving the levels of economic tim...
So-called "spurious regression" relationships are generally accompanied by clear signs of residual a...
We study the phenomenon of spurious regression between two random vari-ables, when the generating me...
This paper considers an important practical problem in testing time-series data for nonlinearity in ...
A spurious regression occurs when a pair of independent series, but with strong temporal properties,...
In the time series analysis it often appears that two or more time series influence each other. When...
Nonlinear models arise naturally in economics. Both least squares and maximum-likelihood estimators ...
Spurious correlations occur when two independent time series are found to be correlated according to...
This paper studies the effects of spurious detrending in regression. The asymptotic behavior of tradi...
This paper argues that trending time series can admit valid regression representations even when the...
Statistical tools to detect nonlinear relationship between variables are commonly needed in various ...
Random field regression models provide an extremely flexible way to investigate nonlinearity in eco...
Some statistics practitioners often ignore the underlying assumptions when analyzing a real data and...
We study the phenomenon of spurious regression between two random variables,when the generating mech...
In this paper we consider the situation where two independent random walks are used in various frequ...
This paper provides an analytical study of spurious regressions involving the levels of economic tim...
So-called "spurious regression" relationships are generally accompanied by clear signs of residual a...
We study the phenomenon of spurious regression between two random vari-ables, when the generating me...
This paper considers an important practical problem in testing time-series data for nonlinearity in ...
A spurious regression occurs when a pair of independent series, but with strong temporal properties,...
In the time series analysis it often appears that two or more time series influence each other. When...
Nonlinear models arise naturally in economics. Both least squares and maximum-likelihood estimators ...
Spurious correlations occur when two independent time series are found to be correlated according to...
This paper studies the effects of spurious detrending in regression. The asymptotic behavior of tradi...
This paper argues that trending time series can admit valid regression representations even when the...
Statistical tools to detect nonlinear relationship between variables are commonly needed in various ...
Random field regression models provide an extremely flexible way to investigate nonlinearity in eco...
Some statistics practitioners often ignore the underlying assumptions when analyzing a real data and...
We study the phenomenon of spurious regression between two random variables,when the generating mech...