In this paper we show that omitted variables and publication bias lead to severely biased estimates of the value of a …

In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the … problem of sample selection bias is fit within the conventional specification error framework of Griliches and Theil. A simple … estimator is discussed that enables analysts to utilize ordinary regression methods to estimate models free of selection bias …

and show they behave well in realistic scenarios, correcting the large bias problem of the full sample estimator. We use … data from the National JTPA Study and the Tennessee STAR experiment to demonstrate the performance of alternative …

We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping. …

CPS makes no effort to follow movers, these panels exhibit significant attrition, which may lead to bias in longitudinal … construct 'data-based' rather than 'model-based' corrections for bias from selective attrition. The approach is applied to a … statistically insignificant evidence of attrition bias. In contrast, the longitudinal analysis of the marriage premium for males …

We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping …