The Federal Reserve Board eagle logo links to home page
Finance and Economics Discussion Series
The Finance and Economics Discussion Series logo links to FEDS home page Recent Developments in Bootstrapping Time Series
Jeremy Berkowitz and Lutz Kilian

Abstract: In recent years, several new parametric and nonparametric bootstrap methods have been proposed for time series data. Which of these methods should applied researchers use? We provide evidence that for many applications in time series econometrics parametric methods are more accurate, and we identify directions for future research on improving nonparametric methods. We explicitly address the important, but often neglected issue of model selection in bootstrapping. In particular, we emphasize the advantages of the AIC over other lag order selection criteria and the need to account for lag order uncertainty in resampling. We also show that the block size plays an important role in determining the success of the block bootstrap, and we propose a data-based block size selection procedure.

Keywords: Bootstrap, ARMA, frequency domain, blocks

Full paper (3923 KB PDF)

Home | Economic research and data | FR working papers | FEDS | 1996 FEDS papers
To comment on this site, please fill out our feedback form.
Last update: July 16, 1997