Rank tests for short memory stationarity
From MaRDI portal
Publication:528124
DOI10.1016/j.jeconom.2012.08.020zbMath1443.62283OpenAlexW2069995130WikidataQ59234100 ScholiaQ59234100MaRDI QIDQ528124
Matteo M. Pelagatti, Pranab Kumar Sen
Publication date: 12 May 2017
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: http://www.sciencedirect.com/science/article/pii/S0304407612002151
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Non-Markovian processes: hypothesis testing (62M07)
Related Items
A test of the null of integer integration against the alternative of fractional integration, Wilcoxon rank test for change in persistence, Testing stationarity of functional time series, A test for second order stationarity of a multivariate time series
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A method for simulating non-normal distributions
- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- A robust version of the KPSS test based on indicators
- 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 theory of a test for the constancy of regression coefficients against the random walk alternative
- Rank tests for unit roots
- The Bahadur representation of sample quantiles for sequences of strongly mixing random variables
- Consistency and asymptotic distribution of the Theil-Sen estimator
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- The Efficiency of Some Nonparametric Competitors of the $t$-Test
- Testing for a unit root in time series regression
- Limiting behavior of U-statistics for stationary, absolutely regular processes
- Asymptotic Statistics
- Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
- TESTS OF COMMON STOCHASTIC TRENDS
- Consistency of Kernel Estimators of Heteroscedastic and Autocorrelated Covariance Matrices
- Strong laws for 𝐿- and 𝑢-statistics
- Estimates of Regression Parameters Based on Rank Tests
- Estimates of the Regression Coefficient Based on Kendall's Tau
- Nonparametric Estimate of Regression Coefficients
- Convergence Criteria for Multiparameter Stochastic Processes and Some Applications