Researchers frequently test and improve model fit by holding a sample constant and varying the model. We propose methods to test and improve sample fit by holding a model constant and varying the sample. Much as the bootstrap is a well-known method to re-sample data and estimate the uncertainty...

In the context of high-frequency financial data it is often assumed that sampling times are exogenous. This entails that financial asset prices, sampled on a grid of trade instants, are independent from the sampling times. We derive statistical tests capable of determining whether or not, and to...

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N = 3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...

Much of the literature on performance-related pay (PRP) and poor health relies on self-reported data, and the relationship is particularly difficult to examine due to confounding variables. To address these limitations we examine three groups of health measures using data from the UKHLS: blood...

We address a concern about the external validity, in particular, the representativeness of the sampled population, of an experiment conducted with university students. We do so by conducting largescale (partly) incentivized online surveys of students at a Japanese university and of a sample of...