STATIONARITY TESTS FOR IRREGULARLY SPACED OBSERVATIONS AND THE EFFECTS OF SAMPLING FREQUENCY ON POWER
From MaRDI portal
Publication:3377453
DOI10.1017/S0266466605050401zbMath1083.62075MaRDI QIDQ3377453
Fabio Busetti, A. M. Robert Taylor
Publication date: 22 March 2006
Published in: Econometric Theory (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Monte Carlo methods (65C05) Non-Markovian processes: hypothesis testing (62M07)
Related Items
Testing for stationarity at high frequency, Testing Cointegrating Relationships Using Irregular and Non‐Contemporaneous Series with an Application to Paleoclimate Data, Implementing Residual-Based KPSS Tests for Cointegration with Data Subject to Temporal Aggregation and Mixed Sampling Frequencies
Cites Work
- Testing for unit roots with flow data and varying sampling frequency
- Estimating integrated higher-order continuous time autoregressions with an application to money-income causality
- 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?
- Continuous time autoregressive models with common stochastic trends
- Asymptotic theory of a test for the constancy of regression coefficients against the random walk alternative
- Discrete and continuous time cointegration
- Testing for unit roots in flow data sampled at different frequencies
- The KPSS test with seasonal dummies
- Testing for the Presence of a Random Walk in Series with Structural Breaks
- Comparisons of Tests for the Presence of Random Walk Coefficients in a Simple Linear Model
- Testing for Deterministic Linear Trend in Time Series
- An optimal test against a random walk component in a non‐orthogonal unobserved components model
- Time Series Regression with a Unit Root
- Gaussian Estimation of Structural Parameters in Higher Order Continuous Time Dynamic Models
- Error Correction and Long-Run Equilibrium in Continuous Time
- Computing the distribution of quadratic forms in normal variables