We investigate the impact of investment in automation-related goods on adopting and non-adopting firms in the Italian economy during 2011-2019. We integrate datasets on trade activities, firms', and workers' characteristics for the population of Italian importing firms and estimate the effects...

Given significant expenditures on education technologies, an important question is whether these products are adopted by their end users and are effective in practice. This paper studies the adoption, diffusion, and effects of one type of technology that is increasingly ubiquitous:...

We conduct an experiment to understand how enrollment defaults affect the take up and impact of an education technology. We show that a standard and simplified opt-in process induce low take up. Automatically enrolling parents increases adoption significantly and improves student achievement....

We ask whether epidemic exposure leads to a shift in financial technology usage within and across countries and if so who participates in this shift. We exploit a dataset combining Gallup World Polls and Global Findex surveys for some 250,000 individuals in 140 countries, merging them with...

We investigate the relationship between market structure and platforms' incentives to adopt technological innovations in two-sided markets, where platforms may find it optimal to charge zero price on the consumer side and to extract surplus on the advertising side. We consider innovations that...

We examine the trade-off between functionality and data privacy inherent in many AI products by conducting a randomized survey experiment with 1,734 participants from the US and several European countries. Participants' willingness to adopt a hypothetical, AI-enhanced app is measured under three...

We investigate the diffusion of frontier technologies across German firms before and during the Covid-19 crisis. Our analysis tracks the nature, timing, and pandemic-related motivations behind technology investments, using tailor-made longitudinal survey data linked to administrative...

This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze the conditions under which the nested pseudo-likelihood (NPL)...

Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...