This article investigates the causal effects of neighborhood on high school dropping out and teenage pregnancy within a counterfactual framework. It shows that when two groups of children, identical at age 10 on observed factors, experience different neighborhoods during adolescence, those in high-poverty neighborhoods are more likely to drop out of high school and have a teenage pregnancy than...

Audit fee studies often find large (Big 5) audit firms earn significantly higher fees than small (non-Big 5) firms, but they treat auditor choice as exogenous. In contrast, this paper takes into account that companies are not randomly assigned to audit firms. We find the effects of auditor selection bias on audit fees are statistically and economically significant. Consistent with the predictio...

When there is a rare disease in a population, it is inefficient to take a random sample to estimate a parameter. Instead one takes a random sample of all nuclear families with the disease by ascertaining at least one sibling (proband) of each family. In these studies, an estimate of the proportion of siblings with the disease will be inflated. Sometimes the situation is even worse; the investig...

The problem of publication bias has long been discussed in research fields such as medicine. There is a consensus that publication bias is a reality and that solutions should be found to reduce it. In methodological computational research, including cancer informatics, publication bias may also be at work. The publication of negative research findings is certainly also a relevant issue, but has...

Instructors and researchers of peer review would benefit from a consistent way of characterizing peer review among students. One factor that can affect peer review is reviewer bias. For example, students may give biased assessments if some reviewers are lenient and others stringent. Accordingly, statistical models of peer review should account for reviewer bias. We present work in progress comp...

Information bias might be present in any study, including randomized trials, because the values of variables of interest are unknown, and researchers have to rely on substitute variables, the values of which provide information on the unknown true values. We used causal directed acyclic graphs to extend previous work on information bias. First, we show that measurement is a complex causal proce...

Two studies examined bias correction by manipulating a perceived chronic judgmental bias (i.e., overestimator/underestimator) using a modified dot estimation task. In Experiment 1, participants corrected for this perceived estimation bias by making adjustments away from the arbitrary feedback about their personal bias tendencies. In Experiment 2, the perceived desirability of the same estimatio...

Meta-analysis is increasingly utilised in the understanding of consumer behaviour, including in relation to farm animal welfare. However, the issue of publication bias has received little attention. As willingness-to-pay (WTP) is widely used in policy, it is important to explore publication bias. This research aimed to evaluate publication bias in WTP, specifically public WTP for farm animal we...

PURPOSE The concept of bias and its effects on study results are reviewed. SUMMARY Understanding bias is paramount for the conduct of sound research studies. In the context of research methodology, bias refers to the presence of systematic error in a study. This report serves as an introduction to the concept of bias and describes three major areas through which bias is introduced into resear...