Median unbiased forecasts for highly persistent autoregressive processes
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Publication:1868967
DOI10.1016/S0304-4076(02)00123-9zbMath1025.62031OpenAlexW2148589974MaRDI QIDQ1868967
Publication date: 9 April 2003
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(02)00123-9
Inference from stochastic processes and prediction (62M20) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)
Related Items (4)
Nearly weighted risk minimal unbiased estimation ⋮ A justification of conditional confidence intervals ⋮ Bootstrap prediction intervals for autoregressive time series ⋮ Median unbiased forecasts for highly persistent autoregressive processes
Cites Work
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- Asymptotic inference for nearly nonstationary AR(1) processes
- Bootstrapping general first order autoregression
- Some asymptotic theory for the bootstrap
- The sampling distribution of forecasts from a first-order autoregression
- Impulse response and forecast error variance asymptotics in nonstationary VARs
- The bootstrap and hypothesis tests in econometrics
- Median unbiased forecasts for highly persistent autoregressive processes
- Bootstrapping unstable first-order autoregressive processes
- Bootstrap test of significance and sequential bootstrap estimation for unstable first order autoregressive processes
- Bootstrap Prediction Intervals for Autoregression
- Towards a unified asymptotic theory for autoregression
- ON BOOTSTRAP PREDICTIVE INFERENCE FOR AUTOREGRESSIVE PROCESSES
- IMPROVED BOOTSTRAP PREDICTION INTERVALS FOR AUTOREGRESSIONS
- Bootstrap tests: how many bootstraps?
- THE BEHAVIOR OF FORECAST ERRORS FROM A NEARLY INTEGRATED AR(1) MODEL AS BOTH SAMPLE SIZE AND FORECAST HORIZON BECOME LARGE
- A Three-step Method for Choosing the Number of Bootstrap Repetitions
- Exactly Median-Unbiased Estimation of First Order Autoregressive/Unit Root Models
- Prediction with a Generalized Cost of Error Function
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