, slaves, and prisoners. -- self-selection ; selection bias ; heights ; anthropometrics ; standards of living …

the finite population mean under a two-phase sampling system. The Bias and Mean Square Error (MSE) of the proposed … exponential regression cum ratio estimator when compared using the cri- teria of bias, mean square error and percentage relative …

make no difference. However, the small sample properties can differ. We explore small sample power and estimation bias both …) in the auxiliary model. We find that both power and bias are similar when the number of variables used is the same …. Raising the number of variables lowers the bias but may also raise the power unacceptably because it lowers the chances of …

constrained by a lack of consensus on how the pseudo-panels should be formed, particularly to address potential sampling error … bias. We show that grouping can also create substantial aggregation bias, calling into question how well pseudo-panels can … mimic panel estimates. We create two metrics for assessing the grouping process, one for each potential source of bias. If …

Maximum Likelihood (ML) shows both lower power and higher bias in small sample Monte Carlo experiments than Indirect … cients (Le et al. 2016). We show here that IIís higher power causes it to have lower bias, because false parameter values are …

We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …

We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …

(the unrestricted weighted least squares) that adjusts the degrees of freedom and thereby reduces small-sample bias to …, whether or not there is publication selection bias, However, publication selection bias remains a ubiquitous source of bias … eradicates publication selection bias, PET-PEESE keeps the rate of false positives (i.e., type I errors) within their nominal …