Publication Type
Journal Article
Version
acceptedVersion
Publication Date
12-2021
Abstract
The bootstrap is shown to be inconsistent in spurious regression. The failure of the bootstrap is spectacular in that the bootstrap effectively turns a spurious regression into a cointegrating regression. In particular, the serial correlation coefficient of the residuals in the bootstrap regression does not converge to unity, so the bootstrap is not even first order consistent. The block bootstrap serial correlation coefficient does converge to unity and is therefore first order consistent, but has a slower rate of convergence and a different limit distribution from that of the sample data serial correlation coefficient. The analysis covers spurious regressions involving both deterministic trends and stochastic trends. Methods are developed for analyzing the asymptotic behavior of bootstrap techniques with nonstationary time series and the results reinforce longstanding warnings about routine use of the bootstrap with dependent data.
Keywords
Asymptotic theory, Bootstrap, Brownian motion, Cointegration, LK representation, Nonstationarity, Residual diagnostics, Unit root
Discipline
Econometrics
Publication
Journal of Quantitative Economics
Volume
19
Issue
SUPPL 1
First Page
163
Last Page
217
ISSN
0971-1554
Identifier
10.1007/s40953-021-00268-6
Publisher
Springer
Citation
PHILLIPS, Peter C. B..
Pitfalls in bootstrapping spurious regression. (2021). Journal of Quantitative Economics. 19, (SUPPL 1), 163-217.
Available at: https://ink.library.smu.edu.sg/soe_research/2811
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s40953-021-00268-6