EMPIRICAL LIKELIHOOD TEST FOR CAUSALITY OF BIVARIATE AR(1) PROCESSES
From MaRDI portal
Publication:2878812
DOI10.1017/S0266466613000339zbMath1314.62207OpenAlexW2145807908MaRDI QIDQ2878812
Deyuan Li, Ngai Hang Chan, Liang Peng
Publication date: 5 September 2014
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466613000339
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Asymptotic properties of parametric tests (62F05)
Related Items (1)
Cites Work
- Unnamed Item
- Subsampling vector autoregressive tests of linear constraints
- Asymptotic inference for nearly nonstationary AR(1) processes
- Inference in possibly integrated vector autoregressive models: Some finite sample evidence
- Empirical likelihood and general estimating equations
- Statistical inference in vector autoregressions with possibly integrated processes
- Inconsistency of bootstrap for nonstationary, vector autoregressive processes
- TOWARD A UNIFIED INTERVAL ESTIMATION OF AUTOREGRESSIONS
- Vector Autoregressions and Causality
- Modified lag augmented vector autoregressions
- Vector autoregression and causality: a theoretical overview and simulation study
- Fully Modified Least Squares and Vector Autoregression
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
This page was built for publication: EMPIRICAL LIKELIHOOD TEST FOR CAUSALITY OF BIVARIATE AR(1) PROCESSES