Reinforcement generates systematic differences without heterogeneity

Inequality in outcomes may emerge through a reinforcement process in which stochastic variation in values is determined by prior values but may also originate in preexisting differences in unobserved factors. A common approach toward differentiating between these origins in longitudinal data is to attribute systematic differences between units-differences in means or differences proportional to a time-varying group average-to unobserved heterogeneity. We show that any longitudinal data with systematic differences can also be produced by a reinforcement-driven data generating process. This result reconciles findings in three distinct research areas-science of science, personal culture, and sexual networks-where reinforcement is a strong theoretical prior, yet longitudinal data analyses advance an explanation of interpersonal differences based on heterogeneity. Future studies may bound the role of heterogeneity and reinforcement from below by measuring fixed traits that systematically vary with the outcome and isolating random events that trigger emergent differences.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-06-06
DOI
https://doi.org/10.1073/pnas.2408163122
Primary Topic
Evolutionary Psychology and Human Behavior
Type
article
Field-Weighted Citation Impact
0.00

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article

Reinforcement generates systematic differences without heterogeneity

Alexandros Gelastopoulos, Lucas Sage, Arnout van de Rijt
Proceedings of the National Academy of Sciences
Evolutionary Psychology and Human Behavior
article

Reinforcement generates systematic differences without heterogeneity

Alexandros Gelastopoulos, Lucas Sage, Arnout van de Rijt
article en

Abstract

Inequality in outcomes may emerge through a reinforcement process in which stochastic variation in values is determined by prior values but may also originate in preexisting differences in unobserved factors. A common approach toward differentiating between these origins in longitudinal data is to attribute systematic differences between units-differences in means or differences proportional to a time-varying group average-to unobserved heterogeneity. We show that any longitudinal data with systematic differences can also be produced by a reinforcement-driven data generating process. This result reconciles findings in three distinct research areas-science of science, personal culture, and sexual networks-where reinforcement is a strong theoretical prior, yet longitudinal data analyses advance an explanation of interpersonal differences based on heterogeneity. Future studies may bound the role of heterogeneity and reinforcement from below by measuring fixed traits that systematically vary with the outcome and isolating random events that trigger emergent differences.

Proceedings of the National Academy of SciencesVol. 122(23)
Universitat Pompeu Fabra (ES), University of Southern Denmark (DK), Université Toulouse-I-Capitole (FR), Institute for Advanced Study in Toulouse (FR), National Research Council (IT), Institute of Cognitive Sciences and Technologies (IT), Barcelona School of Economics (ES), European University Institute (IT)
National Science Foundation, European Commission, Agence Nationale de la Recherche, National Institutes of Health
Gender equality
Openalex Percentile: Top 87%
Evolutionary Psychology and Human Behavior
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