Two-step estimation in linear regressions with adaptive learning
From MaRDI portal
Publication:6101704
DOI10.1016/j.spl.2022.109761zbMath1524.62445arXiv2204.05298MaRDI QIDQ6101704
No author found.
Publication date: 20 June 2023
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2204.05298
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) General nonlinear regression (62J02)
Cites Work
- Unnamed Item
- Convergence of least squares learning mechanisms in self-referential linear stochastic models
- Learning from experience in the stock market
- Asymptotic properties of nonlinear least squares estimates in stochastic regression models
- A simple recursive forecasting model
- Learning can generate long memory
- Nonlinear regressions with nonstationary time series
- Strong consistency of the least squares estimator in regression models with adaptive learning
- Econometric Issues in the Analysis of Regressions with Generated Regressors
- ESTIMATING STRUCTURAL PARAMETERS IN REGRESSION MODELS WITH ADAPTIVE LEARNING
- LEAST SQUARES ESTIMATION FOR NONLINEAR REGRESSION MODELS WITH HETEROSCEDASTICITY
- Asymptotic Properties of Non-Linear Least Squares Estimators
- Stochastic approximation
- Estimation and inference in adaptive learning models with slowly decreasing gains
This page was built for publication: Two-step estimation in linear regressions with adaptive learning