This paper examines the effect of systematic self-report bias, the non-random deviation between the self-reported and … true values of the same measure. This bias may be constant or variable, and can mislead empirical analyses based on … measured data in the cross-section. A school nutrition policy changed the bias differentially in the treatment and control …

measurement, and it has become standard practice to construct income measures to mitigate these. However, remaining bias can lead … literature. We show with theory and simulations that even using a 30-year income average can result in a small positive spurious … grandfather coefficient estimate. We further propose an IV approach, showing that it is not susceptible to this spillover bias in …

Estimation of empirical relationships is prone to bias. Economists have carefully identified and addressed sources of … bias in structural and quasi-experimental approaches, but the randomized control trial (RCT) has only recently begun to … used to reduce the risk of bias in economics RCTs. We first identify the subset of these lessons applicable to RCTs in …

estimates for a number of reasons. Consequently, if we neglect this potential bias in OLS when estimating the gender wage gap …

estimates for a number of reasons. Consequently, if we neglect this potential bias in OLS when estimating the gender wage gap …

estimates for a number of reasons. Consequently, if we neglect this potential bias in OLS when estimating the gender wage gap …