We study the distributional effects of remote learning using a novel approach that combines preference data from a conjoint survey experiment with administrative records of student outcomes. The experimentally derived preference data allow us to account for selection into remote learning while also studying selection patterns and treatment effect heterogeneity. We validate the approach using random variation from school choice lotteries. Our analysis of the average impacts of remote learning finds negative effects on reading (–0.13σ) and math (–0.14σ) achievement. Notably, we find evidence of positive learning effects for children whose parents have the strongest demand for remote learning. Parental concerns related to bullying appear to be an important driver of the demand for remote learning. Moreover, we find that across-the-board positive impacts of remote learning on bullying outcomes operate as a compensating differential for negative impacts on learning. Our results suggest that an important subset of students who currently sort into post-pandemic remote learning benefit from expanded choice.

More on this topic

BFI Working Paper·Jul 27, 2026

Relating Cognitive Skills and Personality Traits to Economic Preferences: Decision-Making under Cognitive Shocks and Guessing

Cesar Chavez Padilla, Shuaizhang Feng, James Heckman, and Zhe Yang
Topics: K-12 Education
BFI Working Paper·Jun 15, 2026

AI Diffusion Gaps: Unequal Integration of AI Across K-12 Schools

Christopher Campos and John Singleton
Topics: K-12 Education
BFI Working Paper·Mar 17, 2026

Who Gets What in Education: Can School Matching Improve Student Achievement?

Atila Abdulkadiroglu, Parag A. Pathak, and Christopher Walters
Topics: K-12 Education