Journal Article

No. 2011-1 | January 10, 2011
Estimating Standard Errors for the Parks Model: Can Jackknifing Help? PDF Icon


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


W. Robert Reed and Rachel S. Webb (2011). Estimating Standard Errors for the Parks Model: Can Jackknifing Help? Economics: The Open-Access, Open-Assessment E-Journal, 5 (2011-1): 1—14.


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Comments and Questions

Jiddah M.A. Ajayi - Estimating Standard Errors for the parks model
January 11, 2011 - 16:39

The study is really a scientific,well researched& focused,it gave an indepth analysis that is highly interesting,educative and in-depth.The whole essence of/in economics is simplicity& hitting the point,this paper has done just that!!!!