Wealth surveys tend to underestimate wealth concentration at the top due to the "missing rich" problem. We propose a new way of improving the credibility of wealth surveys: We make them consistent with tabulated income tax data. This is possible with the Household Finance and Consumption Survey...

We collect 1,021 estimates from 92 studies that use the consumption Euler equation to measure relative risk aversion and that disentangle it from intertemporal substitution. We show that calibrations of risk aversion are typically larger than estimates thereof. Moreover, reported estimates are...

This paper provides concise, nontechnical, step-by-step guidelines on how to conduct a modern meta-analysis, especially in social sciences. We treat publication bias, p-hacking, and heterogeneity as phenomena meta-analysts must always confront. To this end, we provide concrete methodological...

We demonstrate that all meta-analyses of partial correlations are biased, and yet hundreds of meta-analyses of partial correlation coefficients (PCC) are conducted each year widely across economics, business, education, psychology, and medical research. To address these biases, we offer a new...

Meta-analysis upweights studies reporting lower standard errors and hence more precision. But in empirical practice, notably in observational research, precision is not given to the researcher. Precision must be estimated, and thus can be p-hacked to achieve statistical significance. Simulations...

Class size reduction mandates are frequent and invariably justified by studies reporting positive effects on student achievement. Yet other studies report no effects, and the literature as a whole awaits correction for potential publication bias. Moreover, if identification drives results...

Conventional meta-analyses of correlations are biased due to the correlation between the estimated correlation and its standard error, Simulations that are closely calibrated to match actual research conditions widely seen across correlational studies in psychology corroborate these biases and...

Academic publishing represents a field in which the opportunity for discrimination based on appearance should be limited since intellectual skills must play a key role. In this work, I document the beauty effect for economic scholars. Using unique data on academics who published their research...

In the face of wars and a geopolitically challenging environment, military expenditures have once again become political focal points in developed countries. However, the scientific literature remains inconclusive regarding their impact on economic growth. This paper conducts a meticulous...

Common wisdom suggests that beauty helps in the labor market. We show that two factors combine to explain away the mean beauty premium reported in the literature. First, correcting for publication bias reduces the premium by at least a third. Second, controlling for cognitive ability negates the...