Anastasia draws inspiration from behavioral economics and combines empirical and experimental research methods to understand human behavior in natural settings. Her current research interests are in the areas of habit formation, self-regulation and signaling, as well as cognitive bias and decision debiasing both broadly and particularly in the financial domain.
What can machine learning teach us about habit formation? Evidence from exercise and hygiene, with Hung Ho, Katherine Milkman, Xiaomin Li, Angela Duckworth, and Colin Camerer, PNAS, Volume 120 (April 2023).
Fear in groups: Increasing group size reduces perceptions of danger, with Ellen Tedeschi, Sophia Armand, Brian Silston, and Dean Mobbs, Emotion, Volume 21 (October 2021), pages 1499-1510.
Deterrence effects of enforcement schemes: An experimental study, with Marina Agranov, Management Science, Volume 68 (May 2021), pages 3573-3589.
The golden age of social science, with Marcos Gallo and Colin Camerer, PNAS, Volume 118 (January 2021), pages 1-11.
The neuroeconomics of epistemic curiosity, with Colin Camerer, Current Opinion in Behavioral Sciences, Volume 35 (October 2020), pages 141-149.
Self-Regulation Failures in the Field: Investigating Spillovers from Morning Exercise to Food Choice, with Matthew Shum.
Quality and Product Differentiation: Theory and Evidence from the Mutual Fund Industry, with Maxime Bonelli and Tianhao Yao.
Stochastic Sales: Understanding Consumer Beliefs About Promotions