investigate what causes the in-group bias: is it due to mere group affiliation or, alternatively, is guilt-aversion a possible … beliefs. We find that mere group affiliation affects beliefs and explains a substantial part of the bias, but we also find …

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

regression bias, job creation by smaller enterprises is overestimated when figures from the previous year or from start-ups are …

In the presence of selection bias, traditional estimators of pseudo panel data are inconsistent. In this paper, the … selection bias. Specifically, they propose a Wald test for the null hypothesis that there is no selection bias. Under rejection …-panel regressions to test for selection bias and estimate the returns to education in Colombia. The authors corroborate the existence of …

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …

SLS can exhibit substantial finite sample (second-order) bias when the model is over-identified and the first stage … estimates in this situation. Morimune (1983) analyzed both the bias in 2SLS and the lack of moments in LIML. While it was long … jackknife 2SLS (J2SLS) estimator that attenuated the 2SLS bias problem and had good dispersion properties. They found in their …

that such bias-reducing weights must depend on the data unless an orthogonal reparameterization or an essentially …. Finally, we show that random effects estimators are not bias reducing in general and discuss important exceptions. Three …