A typical empirical study involves choosing a sample, a research design, and an analysis
path. Variation in such choices across studies leads to heterogeneity in results that introduce …

With the help of more than 700 reviewers, we assess the reproducibility of nearly 500
articles published in the journal Management Science before and after the introduction of a …

Data analysis is challenging as analysts must navigate nuanced decisions that may yield
divergent conclusions. AI assistants have the potential to support analysts in planning their …

We propose a framework for evaluating reproducibility and replicability in economics.
Reproducibility is defined as testing if the results of an original study can be reproduced …

Using new data from US and global markets, we revisit market risk premium predictability by
equity anomalies. We apply a repertoire of machine-learning methods to forty-two countries …

This study explores how researchers' analytical choices affect the reliability of scientific
findings. Most discussions of reliability problems in science focus on systematic biases. We …

Reproducibility and replication efforts contribute in essential ways to the production of
scientific knowledge by testing accumulated evidence. 1 Reproductions and replications …

Non-standard errors capture variation due to differences in research design choices. We
document large variation in design choices in the context of asset pricing factor models and …

As key players in financial markets and the broader industry, financial professionals are
increasingly used as experimental research participants. We review over 50 studies …

We estimate the robustness reproducibility of key results from 17 non-experimental AER
papers published in 2013 (8 papers) and 2022/23 (9 papers). We find that many of the …