ROBUST ASYMPTOTIC INFERENCE IN AUTOREGRESSIVE MODELS WITH MARTINGALE DIFFERENCE ERRORS
From MaRDI portal
Publication:4678784
DOI10.1081/ETC-200049135zbMath1061.62037OpenAlexW2105499585MaRDI QIDQ4678784
Publication date: 23 May 2005
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/etc-200049135
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35) Monte Carlo methods (65C05) Asymptotic properties of parametric tests (62F05)
Cites Work
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Empirical likelihood methods with weakly dependent processes
- Empirical likelihood ratio confidence regions
- Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
- Empirical likelihood for linear models
- Empirical likelihood and general estimating equations
- Dual likelihood
- Testing for linear autoregressive dynamics under heteroskedasticity
- Nonparametric Confidence Limits by Resampling Methods and Least Favorable Families
- Empirical likelihood ratio confidence intervals for a single functional
- On the Formulation of Wald Tests of Nonlinear Restrictions
- Nonparametric standard errors and confidence intervals
- An Information-Theoretic Alternative to Generalized Method of Moments Estimation
- One-Step Estimators for Over-Identified Generalized Method of Moments Models
- Stochastic Limit Theory
- Information Theoretic Approaches to Inference in Moment Condition Models
- A compendium to information theory in economics and econometrics
- EFFICIENT IV ESTIMATION FOR AUTOREGRESSIVE MODELS WITH CONDITIONAL HETEROSKEDASTICITY
- Bootstrap Methods for Markov Processes
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- Martingale Central Limit Theorems
- On Limit Theorems for Quadratic Functions of Discrete Time Series
This page was built for publication: ROBUST ASYMPTOTIC INFERENCE IN AUTOREGRESSIVE MODELS WITH MARTINGALE DIFFERENCE ERRORS