This article 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 …

We examine whether estimates of hedge fund performance reported in prior empirical
research are affected by publication bias. Using a sample of 1019 intercept terms from …

We show that the large elasticity of substitution between capital and labor estimated in the
literature on average, 0.9, can be explained by three issues: publication bias, use of cross …

Preregistration is regarded as an important contributor to research credibility. We investigate
this by analyzing the pattern of test statistics from the universe of randomized controlled trial …

Our aim in this paper is to detect bank clients involved in suspicious activities related to
money laundering, using the graph of transactions of the bank. Although we have a labeled …

A key parameter in the analysis of wage inequality is the elasticity of substitution between
skilled and unskilled labor. We show that the empirical literature is consistent with both …

Machine learning (ML) is progressively reshaping the fields of quantitative finance and
algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers …

Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-
registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility …

We use unique data from journal submissions to identify and unpack publication bias and p-
hacking. We find initial submissions display significant bunching, suggesting the distribution …

Since the 18th century, the p value has been an important part of hypothesis-based scientific
investigation. As statistical and data science engines accelerate, questions emerge: to what …