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

Field experiments rely heavily on self-reported data, but subjects may misreport behaviors, especially sensitive ones …

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. …

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 …

Meta-regression estimates of the value of a statistical life (VSL) controlling for publication selection bias yield … bias-corrected estimates of VSL that are higher for labor market studies using the more recent Census of Fatal Occupational … of the variable used to capture publication bias effects. Meta-regression estimates for a large sample of VSL estimates …

empirical results reject the hypothesis that an increase in the upward bias of the schooling coefficient, due to a change in the …

subject to omitted variable bias despite the inclusion of control variables. If the direction of omitted variable bias were … modest than retrospective studies suggest. Bias appears to be reduced by a differences-in-differences estimator that examines …