Estimating standard errors for the Parks model: Can jackknifing help?
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.
Volume (Year): 5 (2011)
Issue (Month): ()
|Contact details of provider:|| Postal: |
Phone: +49 431 8814-1
Fax: +49 431 8814528
Web page: http://www.economics-ejournal.org/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Roger Congleton & Feler Bose, 2010. "The rise of the modern welfare state, ideology, institutions and income security: analysis and evidence," Public Choice, Springer, vol. 144(3), pages 535-555, September.
- Sunil Sapra, 2002. "A jackknife maximum likelihood estimator for the probit model," Applied Economics Letters, Taylor & Francis Journals, vol. 9(2), pages 73-74.
- W. Robert Reed & Haichun Ye, 2009. "Which panel data estimator should I use?," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 985-1000.
- Doug Miller & A. Colin Cameron & Jonah B. Gelbach, 2006.
"Bootstrap-Based Improvements for Inference with Clustered Errors,"
621, University of California, Davis, Department of Economics.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2007. "Bootstrap-Based Improvements for Inference with Clustered Errors," NBER Technical Working Papers 0344, National Bureau of Economic Research, Inc.
- W. Robert Reed & Rachel Webb, 2010.
"The PCSE Estimator is Good -- Just Not as Good as You Think,"
Working Papers in Economics
10/53, University of Canterbury, Department of Economics and Finance.
- Reed W. Robert & Webb Rachel, 2010. "The PCSE Estimator is Good -- Just Not As Good As You Think," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-26, September.
- Robert Breunig, 2002.
"Bias correction for inequality measures: an application to China and Kenya,"
Applied Economics Letters,
Taylor & Francis Journals, vol. 9(12), pages 783-786.
- Breunig, Robert, 2001. "Bias Correction for Inequality Measures: An application to China and Kenya," Departmental Working Papers 2001-06, The Australian National University, Arndt-Corden Department of Economics.
- Roll, Richard & Schwartz, Eduardo & Subrahmanyam, Avanidhar, 2009. "Options trading activity and firm valuation," Journal of Financial Economics, Elsevier, vol. 94(3), pages 345-360, December.
When requesting a correction, please mention this item's handle: RePEc:zbw:ifweej:20111. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.