field experiment examines the extent to which this is the case. At different points in time, the same participants allocated … experiment on stationarity, time invariance and time consistency finds using a different design among a different type of …

of discrimination in America, 1993), namely the bias in their results in case of group differences in the variance of … unobserved determinants of hiring outcomes. In this study, the authors empirically investigate this bias in the context of gender … discrimination. The authors do not find significant evidence for the feared bias. …

attention. This paper analyzes the dramatic impact of sample attrition in a large job search experiment. We take advantage of …

-constrained, and analyze a second meta-experiment to highlight the difficulty of detecting interference bias when treatment …, or change buyers' consideration sets altogether. In this work, we measure and reduce bias due to interference in online … conduct cluster-randomized field experiments. We provide a lower bound on the magnitude of bias due to interference by …

to increased bias and variance. Overall, our results suggest that experiment design and analysis techniques from the … while blocked graph cluster randomization reduces the bias of the naive difference-in-means estimator by as much as 62%, it … produces mixed results. While some provide (small) additional reductions in bias and small reductions in variance, others lead …

the desire to send positive signals to others about one's own skill; this suggests a either a bias in judgment, strategic …

degree of overlap in disjoint sub-samples from a recruitment experiment with more than 3,000 public schools, mimicking small … improved overlap, and balancedness, as achieved by the minMSE method, reduce the bias of the treatment effect estimation by …

degree of overlap in disjoint sub-samples from a recruitment experiment with more than 3,000 public schools, mimicking small … improved overlap, and balancedness, as achieved by the minMSE method, reduce the bias of the treatment effect estimation by …