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- W3122024744 abstract "Abstract Non-spherical errors, namely heteroscedasticity, serial correlation and crosssectional 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." @default.
- W3122024744 created "2021-02-01" @default.
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- W3122024744 date "2011-01-10" @default.
- W3122024744 modified "2023-10-01" @default.
- W3122024744 title "Estimating Standard Errors for the Parks Model: Can Jackknifing Help?" @default.
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- W3122024744 doi "https://doi.org/10.5018/economics-ejournal.ja.2011-1" @default.
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