Mehmood et al. (2023) estimate the effect of Ramadan fasting hours on judicial decisions using case-level data from Pakistan and India. Using exogenous variation in fasting intensity due to the Islamic lunar calendar and latitude, the authors find that Muslim judges are significantly more likely...

Analyzing US macro data via a structural vector-autoregressive model (SVAR), Deleidi and Mazzucato (2021) find strong positive spillovers from mission-oriented government spending on private research and development, as well as on overall economic activity (“crowding in”). Deleidi and...

Webb, Holyoak & Lu (2023) compared human reasoners and GPT-3 on several tasks involving analogy resolution, documenting human-level or superhuman performance in most conditions. In this direct replication, we tested a different, open-weights language model (Mixtral-8x7B) on the same materials...

This study replicates and extends the work of Falk and Hermle (2018. “Relationship of Gender Differences in Preferences to Economic Development and Gender Equality.” Science 362 (6412): eaas9899), who hypothesized that gender differences in economic preferences (patience, altruism,...

Holt and Vinopal (2023) provides evidence of an income-based gap in time spent waiting for services on the typical day in the United States. The gap was estimated at the extensive margin, unconditional intensive margin, and intensive margin conditional on some waiting time. The analysis was...

This study compares the estimation errors of several present value discounting conventions (end-of-year, mid-year, and the more recently proposed harmonic mean convention) for a uniform distribution of intra-period cash flow - continuous and discrete. Our results show that the mid-year...

Adema et al. (2025a) critically reassesses the findings of Ciacci (2024), arguing that the reported effects result from statistical errors and flawed empirical implementation. This response systematically addresses those claims by applying their proposed methodology to the corrected sample...