Using longitudinal data from the Gallup Panel covering more than 30,000 U.S. employees surveyed from 2023 to 2025, I document heterogeneous adoption of generative AI and its "organizational transmission" within firms. First, I show that the share of active (occasional) AI users grew from 9% to...

We develop a model to estimate price-adjustment behavior when prices are observed more frequently than key explanatory variables such as wage costs. We propose a mixed-frequency stochastic (S, s)-model that accommodates infrequently observed costs and allows for plant-, product-, and...

This paper provides a critical examination of the empirical basis of the output convergence debate in the light of recent developments in the analysis of dynamic heterogeneous panels with interactive effects. It shows that popular tools such as Barro's cross-country regressions and two-way fixed...

Energy security risks and private sector development are inherently intertwined and serve as pivotal determinants in shaping the evolutionary trajectory of the renewable energy (RE) industry, especially in emerging economies, where the transition to sustainable energy constitutes a critical...

This paper by Blueprint Director Joshua Angrist, Alberto Abadie, Brigham Frandsen, and Jörn-Steffen Pischke surveys econometric innovations related to differences-in-differences estimators and to event-study models with time-varying treatment effects. The researchers discussion highlights...

This paper examines the impact of neighbourhood social interactions on a household's ability to produce their child's scholastic achievement. A time-varying stochastic frontier model and a spatial Durbin model are used to estimate endogenous and contextual neighbourhood effects on household...