Discussion Paper

No. 2010-23 | September 08, 2010
Estimating Standard Errors for the Parks Model: Can Jackknifing Help?

Abstract

Non-spherical errors, namely heteroscedasticity, serial correlation and cross-sectional correlation are commonly present within panel data sets. These can cause significant problems for econometric analyses. The FGLS(Parks) estimator has been demonstrated to produce considerable efficiency gains in these settings. However, it suffers from underestimation of coefficient standard errors, oftentimes severe. Potentially, jackknifing the FGLS(Parks) estimator could allow one to maintain the efficiency advantages of FGLS(Parks) while producing more reliable estimates of coefficient standard errors. Accordingly, this study investigates the performance of the jackknife estimator of FGLS(Parks) using Monte Carlo experimentation. We find that jackknifing can—in narrowly defined situations—substantially improve the estimation of coefficient standard errors. However, its overall performance is not sufficient to make it a viable alternative to other panel data estimators.

JEL Classification

C15 C23

Cite As

W. Robert Reed and Rachel S. Webb (2010). Estimating Standard Errors for the Parks Model: Can Jackknifing Help?. Economics Discussion Papers, No 2010-23, Kiel Institute for the World Economy. http://www.economics-ejournal.org/economics/discussionpapers/2010-23

Assessment



Comments and Questions


Anonymous - Referee Report 1
November 04, 2010 - 09:19

see attached file


Anonymous - Referee Report 2
November 17, 2010 - 08:46

see attached file


W. Robert Reed - Responses to Referee Reports
November 23, 2010 - 09:16

see attached file


W. Robert Reed - Revised Version
November 23, 2010 - 09:39

see attached file