In this paper we show that omitted variables and publication bias lead to severely biased estimates of the value of a …

winsorizing may induce or exacerbate bias. We term this source of bias Iatrogenic' (or econometrician induced) error. The …

This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in …-treatment characteristics. We propose the use of propensity score matching methods and implement them using data from the NSW experiment … and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment …

This paper develops and applies semiparametric econometric methods to estimate the form of selection bias that arises … econometric selection model which represents the bias solely as a function of the probability of participation; and (c) the method … of difference-in-differences. Using data from an experiment on a prototypical social program combined with unusually rich …

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 …

to selection bias and a partial solution to publication biases. Second, it discusses various ways in which randomization …

and show they behave well in realistic scenarios, correcting the large bias problem of the full sample estimator. We use … data from the National JTPA Study and the Tennessee STAR experiment to demonstrate the performance of alternative …

Reflection Test. In laboratory experiments with 1,236 college students in Nairobi, we implement three incentive levels: no … reliance on intuitions. In none of the tasks are very high stakes sufficient to de-bias participants, or come even close to …

We conduct a randomized field experiment to quantify biases that affect consumers of addictive goods: present …-biased preferences, naïve beliefs regarding present bias, and projection-biased beliefs over future abstinence. These biases reflect … important theoretical and policy ramifications. Our experiment employs a new approach for remote monitoring to ensure truthful …

need for a nonlinear utility-of-wealth function, and instead results from a sort of perceptual bias — but one that … numerical cognition, and test its ability to explain the choice frequencies that we observe in a laboratory experiment …