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...

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...

This paper uses the 2005 and 2006 China General Social Survey (CGSS) to study the relationship between social capital and health in China. It is the most comprehensive analysis of this subject to date, both in the sizes of the samples it analyses, in the number of social capital variables it...

In July 2017, issued a call for papers for a special issue on "The Practice of Replication." In that call, the journal explained that there was no generally accepted procedure for how to do a replication. Likewise, there was no generally accepted standard for determining whether a replication...

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...

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...

This study uses Monte Carlo experiments to produce new evidence on the performance of a wide range of panel data estimators. It focuses on estimators that are readily available in statistical software packages such as Stata and Eviews, and for which the number of crosssectional units (N) and...

This study uses Monte Carlo analysis to investigate the performances of five different meta-analysis (MA) estimators: the Fixed Effects (FE) estimator, the Weighted Least Squares (WLS) estimator, the Random Effects (RE) estimator, the Precision Effect Test (PET) estimator, and the Precision...

This study replicates Ahn, Khandelwal, and Wei's (AKW 's) (2011) model of intermediary trade. The authors' study produces two main results. First, the authors are able to reproduce empirical evidence for AKW's three main predictions for Chinese exports. This is impressive because much of the...