Outcome bias occurs when an evaluator considers ex-post outcomes when judging whether a choice was correct, ex-ante. We … formalize this cognitive bias in a simple model of distorted Bayesian updating. We then examine strategy changes made by …

') bias in the estimates and, after due account is taken of this bias, we find that differences due to estimation method are …

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 …

Non-random assignment of students to teachers can bias value added estimates of teachers' causal effects. Rothstein … to important bias but other feasible specifications are nearly free of bias. I also consider the case where assignments … the bias depending on the amount of information available for use in classroom assignments …

censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …

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 …

relatives. We show that the cross sectional variance of asset returns affects the magnitude of bias in the average return … estimate for that period, while reducing the bias for the surrounding periods. It is not easy to use an approximation method to … correct the bias problem. We suggest a maximum-likelihood alternative to the RSR that directly estimates index returns that …

The aim of this note is to interpret estimation of the conventional treatment-effect selection-bias model in …

We examine evidence on omitted-ability bias in estimates of the economic return to schooling, using proxies for …

We formalize a noted [Guryan et al., 2009] but unexplored source of bias in peer effect estimation, arising because … the bias in a test of random peer assignment. We demonstrate that, when estimating endogenous peer effects, the negative … exclusion bias dominates the positive reflection bias when the true peer effect is small. We discuss conditions under which …