Adaptive estimation of heteroskedastic functional-coefficient regressions with an application to fiscal policy evaluation on asset markets
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Publication:5860972
DOI10.1080/07474938.2019.1624402zbMath1490.62281OpenAlexW2952685933MaRDI QIDQ5860972
Publication date: 4 March 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2019.1624402
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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Cites Work
- Unnamed Item
- Adaptive estimation of autoregressive models with time-varying variances
- Testing for a change in persistence in the presence of non-stationary volatility
- Fiscal policy and asset markets: a semiparametric analysis
- Functional-coefficient models for nonstationary time series data
- Forecasting cointegrated nonstationary time series with time-varying variance
- Testing for unit roots in time series models with non-stationary volatility
- Cointegrating rank selection in models with time-varying variance
- Testing for co-integration in vector autoregressions with non-stationary volatility
- Adapting for heteroscedasticity in linear models
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- Testing for covariance stationarity in stock market data
- Testing stationarity under a permanent variance shift
- Optimal smoothing in single-index models
- Unit Root Tests under Time-Varying Variances
- Semiparametric Estimator of Time Series Conditional Variance
- STATIONARITY TESTS UNDER TIME-VARYING SECOND MOMENTS
- Inference in Autoregression under Heteroskedasticity
- Efficient estimation of conditional variance functions in stochastic regression
- Functional-Coefficient Regression Models for Nonlinear Time Series
- Functional-Coefficient Autoregressive Models
- Testing for changing volatility
- Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non‐stationary Volatility