Bootstrap inference for linear dynamic panel data models with individual fixed effects
Silvia Goncalves () and
Maximilien Kaffo
Journal of Econometrics, 2015, vol. 186, issue 2, 407-426
Abstract:
This paper’s main contribution is to propose and theoretically justify the application of bootstrap methods for inference in autoregressive panel data models with fixed effects. Whereas the focus of the existing literature has been on bias correcting the standard fixed effects OLS estimator (due to the well known incidental parameter bias), our focus here is on improving the quality of inference by relying on the bootstrap instead of the standard normal distribution when computing critical values for test statistics. In particular, we show by simulation that confidence intervals based on the normal distribution can be very distorted in finite samples. Instead, a bootstrap that resamples the residuals and generates the bootstrap observations recursively using the estimated autoregressive panel data model greatly reduces these distortions. We show that this recursive-design residual-based bootstrap fixed effects OLS estimator contains a built-in bias correction term that mimics the incidental parameter bias. Thus, this method can be used to approximate the bias (as well as the entire distribution) of the (biased) fixed effects OLS estimator. This is in contrast with two other methods we consider (a fixed-design residual-based bootstrap and a pairs bootstrap) whose distributions are incorrectly centered at zero. As it turns out, both the recursive-design and the pairs bootstrap are asymptotically valid when applied to the bias-corrected estimator, but the fixed-design bootstrap is not. In the simulations, the recursive-design bootstrap is the method that does best overall.
Keywords: Bootstrap; Panel data autoregression; Fixed effects; Incidental parameter bias (search for similar items in EconPapers)
JEL-codes: C15 C22 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030440761500041X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:186:y:2015:i:2:p:407-426
DOI: 10.1016/j.jeconom.2015.02.017
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().