nep-neu 2022-08-29 papers

on Neuroeconomics

Issue of 2022‒08‒29
three papers chosen by

Reaping the Rewards Later: How Education Improves Old-Age Cognition in South Africa By Nikolov, Plamen; Yeh, Steve
RESCAPE Project: Tool for cyberdefense adaptive training based on the classification of operator cognitive state. By Yvan Burguin; Philippe Rauffet; David Espes; Christine Chauvin; Philippe Le Parc
Predicting the unpredictable: New experimental evidence on forecasting random walks By Te Bao; Brice Corgnet; Nobuyuki Hanaki; Yohanes E. Riyanto; Jiahua Zhu

Reaping the Rewards Later: How Education Improves Old-Age Cognition in South Africa

By:	Nikolov, Plamen (State University of New York); Yeh, Steve (Columbia University)
Abstract:	Cognitive performance in late adulthood is critical for better welfare and understanding the causes of human capital depreciation in old age is increasingly crucial in aging societies. Using data from South Africa, we study how early life education affects cognition, a component of human capital critical to decision-making, in late adulthood. We show that an extra year of schooling improves memory and general cognition performance. We detect heterogeneous treatment effects by gender: the effects are stronger among women. We explore mechanisms and show that a more supportive social environment, improved health habits, and reduced stress levels are likely mediators for the beneficial effects of increased educational attainment on old-age cognition.
Keywords:	human capital, educational attainment, cognitive performance, developing countries, aging, sub-Saharan Africa
JEL:	J14 J24 I21 F63 N37
Date:	2022–07
URL:	https://d.repec.org/n?u=RePEc:iza:izadps:dp15432&r=

RESCAPE Project: Tool for cyberdefense adaptive training based on the classification of operator cognitive state.

By:	Yvan Burguin (Lab-STICC_FHOOX - Equipe Human and Organizational Factors and autOmatic in compleX systems - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], Lab-STICC_IRIS - Equipe SecurIty and Resilience of Information Systems - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]); Philippe Rauffet (Lab-STICC_FHOOX - Equipe Human and Organizational Factors and autOmatic in compleX systems - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], CROSSING - FrenCh austRalian labOratory for humanS/autonomouS agents teamING - University of South Australia [Adelaide] - University of Adelaide - Flinders University [Adelaide, Australia] - CNRS - Centre National de la Recherche Scientifique - Naval Group); David Espes (Lab-STICC_IRIS - Equipe SecurIty and Resilience of Information Systems - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]); Christine Chauvin (Lab-STICC_FHOOX - Equipe Human and Organizational Factors and autOmatic in compleX systems - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]); Philippe Le Parc (Lab-STICC_IRIS - Equipe SecurIty and Resilience of Information Systems - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris])
Date:	2022
URL:	https://d.repec.org/n?u=RePEc:hal:journl:hal-03536522&r=

Predicting the unpredictable: New experimental evidence on forecasting random walks

By:	Te Bao; Brice Corgnet; Nobuyuki Hanaki; Yohanes E. Riyanto; Jiahua Zhu
Abstract:	We investigate how individuals use measures of apparent predictability from price charts to predict future market prices. Subjects in our experiment predict both random walk times series, as in the seminal work by Bloomfield & Hales (2002) (BH), and stock price time series. We successfully replicate the experimental findings in BH that subjects are less trend-chasing when there are more reversals in the first task. We find that subjects also overreact less to the trend when there is less momentum in the stock price in the second task, though the momentum factor that is significant is the autocorrelation instead of the number of reversals per se. Our subjects also appear to use other variables such as amplitude and volatility as measures of predictability. However, as random walk theory predicts, relying on apparent patterns in past data does not improve their prediction accuracy.
Date:	2022–07
URL:	https://d.repec.org/n?u=RePEc:dpr:wpaper:1181&r=

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