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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...
Persistent link: https://www.econbiz.de/10010301698
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...
Persistent link: https://www.econbiz.de/10010303845
This paper demonstrates that unit root tests can suffer from inflated Type I error rates when data are cointegrated. Results from Monte Carlo simulations show that three commonly used unit root tests - the ADF, Phillips-Perron, and DF-GLS tests - frequently overreject the true null of a unit...
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A meta-analysis (MA) aggregates estimated effects from many studies to calculate a single, overall effect. There is no one, generally accepted procedure for how to do this. Several estimators are commonly used, though little is known about their relative performance. A complication arises when...
Persistent link: https://www.econbiz.de/10011341118
This paper investigates profit-shifting behaviour among a large sample of multinational corporations (MNCs) in China. While profit-shifting behaviour is difficult to observe directly, it can be inferred from the behaviour of firms. That is the approach taken by Egger, Merlo, and Wamser...
Persistent link: https://www.econbiz.de/10011657657
This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of regression equations when disturbances are both serially and contemporaneously correlated 1967) estimator. It then demonstrates that the bootstrap outperforms Parks's top...
Persistent link: https://www.econbiz.de/10012020272
In this article Robert W. Reed replies to Hong's replication study published earlier this year (IREE, 2019-4).
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