A POWERFUL TEST OF THE AUTOREGRESSIVE UNIT ROOT HYPOTHESIS BASED ON A TUNING PARAMETER FREE STATISTIC
From MaRDI portal
Publication:3652618
DOI10.1017/S0266466609990247zbMath1179.62127OpenAlexW2159310739MaRDI QIDQ3652618
Publication date: 15 December 2009
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466609990247
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (11)
Periodic autoregressive models for time series with integrated seasonality ⋮ A nonparametric unit root test under nonstationary volatility ⋮ A family of nonparametric unit root tests for processes driven by infinite variance innovations ⋮ Wavelet variance ratio cointegration test and wavestrapping ⋮ INFERENCE ON THE DIMENSION OF THE NONSTATIONARY SUBSPACE IN FUNCTIONAL TIME SERIES ⋮ Powerful nonparametric seasonal unit root tests ⋮ Powerful Unit Root Tests Free of Nuisance Parameters ⋮ A comparison of semiparametric tests for fractional cointegration ⋮ The asymptotic size and power of the augmented Dickey–Fuller test for a unit root ⋮ Wavelet energy ratio unit root tests ⋮ On the performance of the variance ratio unit root tests with flexible Fourier form
Uses Software
Cites Work
- Unnamed Item
- Variance ratio tests of the seasonal unit root hypothesis
- A theory of robust long-run variance estimation
- The balance between size and power in Dickey-Fuller tests with data-dependent rules for the choice of truncation lag
- Testing the null hypothesis of stationarity against the alternative of a unit root. How sure are we that economic time series have a unit root?
- Asymptotic inference for nearly nonstationary AR(1) processes
- Asymptotics for linear processes
- The KPSS stationarity test as a unit root test
- Weak convergence of multivariate fractional processes
- Nonparametric tests for unit roots and cointegration.
- Long memory processes and fractional integration in econometrics
- A simple modification to improve the finite sample properties of Ng and Perron's unit root tests
- Bootstrapping unstable first-order autoregressive processes
- Asymptotic theory of least squares estimators for nearly unstable processes under strong dependence
- THE FUNCTIONAL CENTRAL LIMIT THEOREM AND WEAK CONVERGENCE TO STOCHASTIC INTEGRALS II
- Testing for a unit root in time series regression
- Towards a unified asymptotic theory for autoregression
- Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
- On the Size Properties of Phillips-Perron Tests
- Efficient Tests of Nonstationary Hypotheses
- A Sieve Bootstrap For The Test Of A Unit Root
- THE NONSTATIONARY FRACTIONAL UNIT ROOT
- Trend Function Hypothesis Testing in the Presence of Serial Correlation
- LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power
- The behaviour of Dickey–Fuller and Phillips–Perron testsunder the alternative hypothesis
- Time Series Regression with a Unit Root
- Efficient Tests for an Autoregressive Unit Root
- Tests for Unit Roots and the Initial Condition
This page was built for publication: A POWERFUL TEST OF THE AUTOREGRESSIVE UNIT ROOT HYPOTHESIS BASED ON A TUNING PARAMETER FREE STATISTIC