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on Neuroeconomics |
| By: | Da, Linlin; Jin, Zhezheng; Xu, Qianhui; Renzi-Hammond, Lisa M.; Chen, Zhuo; Khan, M. Mahmud; Rajbhandari-Thapa, Janani; Chen, Xi; Wu, Bei; Song, Suhang |
| Abstract: | This study examines how SNAP participation may affect age-related cognitive decline among cognitively intact older adults over 10 years. Leveraging a longitudinal survey of SNAP-eligible participants in the Health and Retirement Study (HRS) collected biennially from 2010 to 2020, we estimate the relationship between SNAP participation and cognitive decline across different population groups. We show that SNAP participation is associated with a slower cognitive decline in global cognition, memory, and executive function. A significant three-way interaction among SNAP participation, race/ethnicity, and time indicates faster decline in global cognition among Non- Hispanic Black and Hispanic SNAP users. Our findings suggest that SNAP participation may help slow age-related cognitive decline. However, the benefits of SNAP vary across different population groups. Policies promoting equitable access to SNAP benefits have significant potential to improve cognitive health across diverse populations. |
| Keywords: | Supplemental Nutrition Assistance Program (SNAP), cognitive decline, longitudinal study, disparity |
| JEL: | H53 I38 J14 I18 H75 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:glodps:1671 |
| By: | Daniela Del Boca; Christopher Flinn; Ewout Verriest; Matthew Wiswall |
| Abstract: | We construct a dynamic model of child development where forward-looking parents and children jointly take actions to increase the child’s cognitive and non-cognitive skills within a Markov Perfect Equilibrium framework. In addition to time and money investments in their child, parents also choose whether to use explicit incentives to increase the child’s self-investment, which may reduce the child’s future intrinsic motivation to invest by reducing the child’s discount factor. We use the estimated model parameters to show that the use of extrinsic motivation has large costs in terms of the child’s future incentives to invest in themselves. |
| Keywords: | Time allocation, Child development, Parenting styles |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:cca:wchild:127 |
| By: | Oliver Cassagneau-Francis (UCL Centre for Education Policy and Equalising Opportunities) |
| Abstract: | Recent work has highlighted the significant variation in returns to higher education across individuals. I develop a novel methodology --- exploiting recent advances in the identification of mixture models --- which groups individuals according to their prior ability and estimates the wage returns to a university degree by group, and show that the model is non-parametrically identified. Applying the method to data from a UK cohort study, the findings reflect recent evidence that skills and ability are multidimensional. The flexible model allows the returns to university to vary across the (multi-dimensional) ability distribution, a flexibility missing from commonly used additive models, but which I show is empirically important. Returns are generally increasing in ability for both men and women, but vary non-monotonically across the ability distribution. |
| Keywords: | Mixture models; Distributions; Treatment effects; Higher education; Wages; Human capital; Cognitive and non-cognitive abilities. |
| JEL: | E24 I23 I26 J24 |
| Date: | 2025–09 |
| URL: | https://d.repec.org/n?u=RePEc:ucl:cepeow:25-10 |
| By: | Kensei Nakamura; Shohei Yanagita |
| Abstract: | Completeness and transitivity are standard rationality conditions in economics. However, under ambiguity, decision makers sometimes violate these requirements because of the difficulty of forming accurate predictions about ambiguous events. Motivated by this, we study various ambiguity preferences that partially satisfy completeness and transitivity. Our characterization results show that completeness and a novel yet natural weakening of transitivity correspond to two opposite ways of using multiple probability distributions in mind; that is, these two axioms have dual implications at the level of cognitive processes for ambiguity. |
| Date: | 2025–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2509.11660 |
| By: | Hossein Moradi (RMIT Europe - Royal Melbourne Institute of Technology - Europe); Rouba Iskandar (LIG - Laboratoire d'Informatique de Grenoble - Inria - Institut National de Recherche en Informatique et en Automatique - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes); Sebastian Rodriguez (RMIT University - Royal Melbourne Institute of Technology University); Dhirendra Singh (CSIRO Data61 [Sydney] - CSIRO - Commonwealth Scientific and Industrial Research Organisation [Australia]); Julie Dugdale (Institut Informatique et Mathématiques Appliquées de Grenoble (IMAG), LIG - Laboratoire d'Informatique de Grenoble - Inria - Institut National de Recherche en Informatique et en Automatique - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes); Dimitrios Tzempelikos; Athanasios Sfetsos (NCSR - National Center for Scientific Research "Demokritos"); Evangelia Bakogianni (NCSR - National Center for Scientific Research "Demokritos"); Evrydiki Pavlidi (NCSR - National Center for Scientific Research "Demokritos"); Josué Díaz; Margalida Ribas (UIB - Universitat de les Illes Balears = Universidad de las Islas Baleares = University of the Balearic Islands); Alexandre Moragues (UIB - Universitat de les Illes Balears = Universidad de las Islas Baleares = University of the Balearic Islands); Joan Estrany (UIB - Universitat de les Illes Balears = Universidad de las Islas Baleares = University of the Balearic Islands) |
| Abstract: | Agent-based models (ABMs) are increasingly used in disaster evacuation simulation to capture system level dynamics. While ABMs are often combined with human behavior models (HBMs), few approaches integrate these with infrastructure and demographic data that are carefully modeled using local knowledge, along with hazard-specific impacts and policy settings. Even fewer embed this integration within a co-creation loop that involves local stakeholders throughout the entire development lifecycle, from conception and design to implementation, testing, and beyond. This paper introduces the methodology that we developed to address this gap by combining a structured cocreation process with technical simulation development. The co-creation process engages local stakeholders, planners, and experts to iteratively shape evacuation scenarios, define assumptions, and validate outcomes, ensuring the model aligns with local realities. These inputs are translated into a multi-dimensional simulation framework built in MATSim, integrating network and infrastructure models, hazard effects, population, and behavior modeling enhanced through Belief-Desire-Intention cognitive architectures. We applied this methodology in different case study areas, demonstrating its capacity to simulate heterogeneous evacuation dynamics and provide diverse performance metrics. Finally, we explore how this methodology can be applied in other hazards, geographic regions, and evacuation scenarios, offering pathways for broader application and future development. |
| Keywords: | Disaster Preparedness, Disaster Evacuation Simulation, Co-creation Processes, Human Behavior Models, Agent-Based Models |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05267465 |