The framework of stationarity testing is extended to allow a generic smooth trend function estimated nonparametrically. The asymptotic behavior of the pseudo-Lagrange Multiplier test is analyzed in this setting. The proposed implementation delivers a consistent test whose limiting null distribution is standard normal. Theoretical analyses are complemented with simulation studies and some empirical applications.Time series, stationarity testing, limiting distribution, nonparametric regression, nonparametric hypothesis testing
This paper proposes some new tests for detecting the presence of a unit root in quite general time s...
We consider tests of null hypothesis of stationarity against a unit root alternative when the series...
A frequency-domain statistic is introduced to test for stationarity versus stochastic or determinist...
The framework of stationarity testing is extended to allow a generic smooth trend function estimated...
We propose a (trend) stationarity test with a good finite sample size even when a process is (trend)...
This paper proposes residual-based tests for the null of level- and trend-stationarity, which are an...
Techniques for testing the null hypothesis of difference stationarity against stationarity around so...
The effects of incorrect specification of an instantaneous break when the true data generating proce...
We propose automatic generalizations of the KPSS-test for the null hypothesis of stationarity of a u...
This paper considers testing procedures for the null hypothesis of a unit root process against the a...
We tackle the stationarity issue of an autoregressive path with a polynomial trend, and we generaliz...
International audienceNon-stationarity potentially comes from many sources and they impact the analy...
It is common in applied econometrics to test a highly persistent process under the null hypothesis a...
Thesis (Ph.D.)--University of Washington, 2014This dissertation focuses on the construction of stati...
In this paper we examine the local power of unit root tests against globally stationary exponential ...
This paper proposes some new tests for detecting the presence of a unit root in quite general time s...
We consider tests of null hypothesis of stationarity against a unit root alternative when the series...
A frequency-domain statistic is introduced to test for stationarity versus stochastic or determinist...
The framework of stationarity testing is extended to allow a generic smooth trend function estimated...
We propose a (trend) stationarity test with a good finite sample size even when a process is (trend)...
This paper proposes residual-based tests for the null of level- and trend-stationarity, which are an...
Techniques for testing the null hypothesis of difference stationarity against stationarity around so...
The effects of incorrect specification of an instantaneous break when the true data generating proce...
We propose automatic generalizations of the KPSS-test for the null hypothesis of stationarity of a u...
This paper considers testing procedures for the null hypothesis of a unit root process against the a...
We tackle the stationarity issue of an autoregressive path with a polynomial trend, and we generaliz...
International audienceNon-stationarity potentially comes from many sources and they impact the analy...
It is common in applied econometrics to test a highly persistent process under the null hypothesis a...
Thesis (Ph.D.)--University of Washington, 2014This dissertation focuses on the construction of stati...
In this paper we examine the local power of unit root tests against globally stationary exponential ...
This paper proposes some new tests for detecting the presence of a unit root in quite general time s...
We consider tests of null hypothesis of stationarity against a unit root alternative when the series...
A frequency-domain statistic is introduced to test for stationarity versus stochastic or determinist...