Network cognition

Dessï, Roberta; Gallo, Edoardo; Goyal, Sanjeev

doi:10.1016/j.jebo.2015.11.015

Cited by 15 publications

(13 citation statements)

References 13 publications

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“…Economists recognize the role played by memory in the maintenance of self-image in theoretical models, but they have provided limited empirical evidence. As far as we are aware of, the only empirical studies on motivated memory in economics are Li (2013); Dessi et al (2016); Li (2017); Chew et al (2018), and Zimmermann (2018). Chew et al (2018) show that after a delay of several months, individuals exhibit asymmetric recalls of past performance in an IQ test.…”

Section: Related Literaturementioning

confidence: 99%

Motivated memory in dictator games

Saucet

Villeval

2019

Games and Economic Behavior

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The memory people have of their past behavior is one of the main sources of information about themselves. To study whether people retrieve their memory self-servingly in social encounters, we designed an experiment in which participants play binary dictator games and then have to recall the amounts allocated to the receivers. We find evidence of motivated memory through selective recalls: dictators remember more their altruistic than their selfish choices. A causal effect of the responsibility of decisions is identified, as the recall asymmetry disappears when options are selected randomly by the computer program. Incentivizing memory accuracy increases the percentage of dictators' correct recalls only when they behaved altruistically. In contrast, there is no clear evidence of motivated memory through biased, i.e., overly optimistic recalls: dictators recall selectively but they do not bias strategically the direction and magnitude of these recalls.

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Section: Related Literaturementioning

confidence: 99%

Motivated memory in dictator games

Saucet

Villeval

2019

Games and Economic Behavior

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“…This is a limitation to the general validity of the findings as some formation about the network they are embedded in. Dessi et al [2014] provide some evidence that individuals tend to underestimate the mean degree and overestimate (underestimate) the number of rare (frequent) degrees in a 15-node network using a graphical methodology to generate the network in the lab, and show that these biases are also present in two real networks mapped through surveys. However, the cognitive processes we use to memorize and recall network information and the resulting biases are still largely unexplored.…”

Section: Future Directionsmentioning

confidence: 95%

“…Examples includeKrackhardt [1987Krackhardt [ , 1990, andKumbasar et al [1994].29 The only two experimental studies we are aware of in network cognition areJanicik and Larrick [2005] andDessi et al [2014].…”

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confidence: 99%

Networks in the Laboratory

Choi

Gallo

Kariv

2016

The Oxford Handbook of the Economics of Networks

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There is a large body of empirical work which studies the influence of network structure on economic outcomes, but these observational studies are subject to identification problems. In the laboratory, by contrast, we can control subjects’ position in the network and their information. This provides an opportunity to test the predictions of network theories and study the effects of variables about which our models have little to say. This chapter surveys network research in experimental economics. The first part discusses experiments of games played on networks, focusing on how different architectures lead to different outcomes. The second part discusses trading in networks where connections represent potential trading relations. The aim of these experiments is to investigate the role of network architecture in determining the efficiency of markets. Overall, the results show that the clarity that is achieved by putting behavior “under the microscope” is well worth the necessary simplification.

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“…Assortativity neglect can be seen as a form of "projection bias," whereby θ projects her own (perceived) match distribution onto all other agents' match distributions (i.e.,P θ (•|θ) = P θ (•|θ )); this is broadly in line with findings in the empirical literature on "network cognition." 13 Assortativity neglect also relates to empirically documented information-processing biases, notably "selection neglect" (Enke, 2017;Esponda andVespa, 2014, 2018;Barron, Huck, and Jehiel, 2019), where agents fail to take into account that the information they see may be Dessi, Gallo, and Goyal (2016) elicit subjects' assessments of degree distributions on a network and document a projection bias, where subjects project their own number of neighbors (i.e., their degree) onto other agents in the network. More broadly, a literature in social psychology documents related "location effects" in individuals' perceptions of their interaction structures (for a survey, see Brands, 2013).…”

Section: Copula Representation and Assortativity Neglectmentioning

confidence: 99%

Dispersed Behavior and Perceptions in Assortative Societies

Frick¹,

Iijima²,

Ishii³

2019

SSRN Journal

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We take an equilibrium-based approach to study the interplay between behavior and misperceptions in coordination games with assortative interactions. Our focus is assortativity neglect, where agents fail to take into account the extent of assortativity in society. We show, first, that assortativity neglect amplifies action dispersion, both in fixed societies and by exacerbating the effect of social changes. Second, unlike other misperceptions, assortativity neglect is a misperception that agents can rationalize in any true environment. Finally, assortativity neglect provides a lens through which to understand how empirically documented misperceptions about distributions of population characteristics (e.g., income inequality) vary across societies.

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Network cognition

Cited by 15 publications

References 13 publications

Motivated memory in dictator games

Motivated memory in dictator games

Networks in the Laboratory

Dispersed Behavior and Perceptions in Assortative Societies

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