BootPR: R
package for Bootstrap Prediction Intervals and Bias-Corrected Forecasting based
on Univariate Autoregression
(current version 0.57)
Bias-correction and
forecasting
Andrews-Chen estimator and forecasting (Andrews, 1993; Andrews and Chen, 1994; Kim, 2003)
Shaman-Stine estimator and forecasting (Shaman and Stine, 1988; Stine and Shaman, 1989, Kim, 2003)
Bootstrap bias-correction and forecasting (Kim, 2003)
Roy-Fuller estimator and forecasting (Roy and Fuller, 2001)
Least-Squares estimation and forecasting (no bias-correction)
(Bias-corrected) bootstrap
prediction intervals
Bootstrap prediction intervals (Thombs and Schucany, 1990)
Bootstrap-after-bootstrap prediction intervals (Kim, 2001, Kilian, 1998)
Bias-corrected bootstrap prediction intervals based on Shaman-Stine bias-correction (Kim, 2004, Shaman and Stine, 1988, Stine and Shaman, 1989)
Other functions
Industrial production time series from extended Nelson and Plosser data set (Andrews and Chen, 1994)
The R program and BootPR package are available from http://www.r-project.org/
The package is also available here: For window users: click here, For others: click here
An example using industrial
production series from the extended Nelson and Plosser
data set: BootPRexample.R
(program) and ip.txt (data)
A future version will include
the case of vector AR models
References
Andrews, D.W. K. (1993). Exactly
median-unbiased estimation of first order autoregressive / unit root models.
Econometrica, 61, 139-165.
Andrews, D.W. K., & Chen, H. -Y. (1994).
Approximate median unbiased estimation of autoregressive models. Journal of
Business & Economic Statistics, 12, 187-204.
Kilian, L. (1998). Small sample confidence
intervals for impulse response functions. The Review
of Economics and Statistics, 80,218-230.
Kim, J.H., 2001, Bootstrap-after-Bootstrap
Prediction Intervals for Autoregressive Models, Journal of Business &
Economic Statistics 19, 117-128
Kim, J.H., 2003, Forecasting Autoregressive Time
Series with Bias-Corrected Parameter Estimators, International Journal of
Forecasting, 19, 493-502.
Kim, J.H., 2004, Bootstrap Prediction Intervals
for Autoregression using Asymptotically Mean-Unbiased
Parameter Estimators, International Journal of Forecasting, 20, 85-97.
Roy, A., & Fuller, W. A.
(2001). Estimation
for autoregressive time series with a root near one. Journal of Business
& Economic Statistics, 19(4), 482-493
Shaman, P., & Stine, R. A.
(1988). The bias of
autoregressive coefficient estimators. Journal of the American
Statistical Association, 83, 842-848.
Stine, R. A., & Shaman, P.
(1989). A fixed point
characterization for bias of autoregressive estimators. The Annals of
Statistics,17, 1275-1284.
Thombs, L. A., & Schucany,
W. R. (1990). Bootstrap prediction
intervals for autoregression. Journal of the American
Statistical Association, 85, 486-492.