“Last-Place Aversion”: Evidence and Redistributive Implications *

Kuziemko, Ilyana; Buell, Ryan W.; Reich, Taly; Norton, Michael I.

doi:10.1093/qje/qjt035

Cited by 243 publications

(123 citation statements)

References 57 publications

(28 reference statements)

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“…Low income/education respondents are less likely to support transfers to the poor after being treated with information about inequality while high income/education respondents are more likely to support such transfers after treatment. This result is consistent with recent findings by Kuziemko et al (2011) suggesting that status anxiety can make low-status individuals wary of redistributive policies that may help groups below them. Given that our treatment focused on the income distribution, status concerns related to income are likely heightened by the treatment.…”

supporting

confidence: 93%

How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments

Kuziemko¹,

Norton²,

Saez

et al. 2013

Self Cite

151

158

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This paper analyzes the effects of information about inequality and taxes on preferences for redistribution using randomized online surveys on Amazon Mechanical Turk (mTurk). About 5,000 respondents were randomized into treatments providing interactive information on U.S. income inequality, the link between top income tax rates and economic growth, and the estate tax. We find that the informational treatment has very large effects on whether respondents view inequality as an important problem. By contrast, we find quantitatively small effects of the treatment on views about policy and redistribution: support for taxing the rich increases slightly, support for transfers to the poor does not, especially among those with lower incomes and education. An exception is the estate tax -we find that informing respondents that it affects only the very richest families has an extremely large positive effect on estate tax support, even increasing respondents' willingness to write to their U.S. senator about the issue. We also find that the treatment substantially decreases trust in government, potentially mitigating respondents' willingness to translate concerns about inequality into government action. Methodologically, we explore different strategies to lower attrition in online survey platforms and show our main results are robust across methods. A small follow-up survey one month later reveals that our results persist over time. Finally, we compare mTurk with other survey vendors and provide suggestions to future researchers considering this platform.

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supporting

confidence: 93%

How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments

Kuziemko¹,

Norton²,

Saez

et al. 2013

Self Cite

151

158

View full text Add to dashboard Cite

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“…This prediction is based on two lines of work. First, being similar in status to others can activate a motivation to display (or affirm) one's own status (Ordabayeva and Chandon 2011;Charles and Lundy 2013;Kuziemko et al 2014). Second, in an online context, status information such as tenure, posting frequency, or review helpfulness indicates that an individual has successfully participated in the community, providing needed and useful information (Pendry and Salvatore 2015).…”

Section: Behavioral and Linguistic Mimicrymentioning

confidence: 99%

She Said, She Said: Differential Interpersonal Similarities Predict Unique Linguistic Mimicry in Online Word of Mouth

Moore¹,

McFerran²

2017

Journal of the Association for Consumer Research

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3This research examines the antecedents, causes, and consequences of linguistic mimicry, which assesses how closely individuals match others' word use, in online WOM. We examine mimicry of both linguistic style (how things are said) and content (what is said). To our knowledge, this research provides the first demonstration of unique linguistic mimicry, where consumers engaging in online WOM differentially mimic other posters' word use. Two experiments and one study using field data show that when consumers are personally similar to an individual who has previously posted (e.g., same gender), they mimic this individual's positive emotion and social word use. When consumers are similar in status to an individual who has previously posted (e.g., same forum ranking), they mimic this individual's cognitive and descriptive word use. This differential mimicry is driven by affiliation versus achievement goals, respectively, and affects consumers' engagement in online WOM in terms of posting incidence and volume.

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“…A second plausible explanation is that they slow down the learning process, either because they need more time to finish an assigned task or because they receive most of the teacher's attention. A third explanation is simply "last-place aversion" (see Kuziemko, Buell, Reich, and Norton, 2013): when the performance of the worst students improves, the rest get motivated; otherwise they risk becoming the classroom's new bad apples.…”

Section: Which Students Matter?mentioning

confidence: 99%

Endogenous Social Interactions: Which Peers Matter?

Tatsi

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractThis paper compares endogenous social interactions models to determine which one fits the classroom reality best. The analysis uses data from German 9th-graders and considers the effect of the best and worst peers' scores, the peers' sum and peers' average scores on own achievement. Although each model seems plausible when estimated separately, comparison and a selection test point to the classmates' average model, meaning that group-based policies are effective. The worst peers' model comes second, followed by the best peers' and the sum of peers' models. Examination of different-ability students' responses to increases of average peer achievement reveals either competition for the first place or last-place aversion. Conditional on own course preferences, own and peer characteristics, spillovers transmit only through cognitive ability. Therefore, regrouping on the basis of characteristics such as immigration background is obsolete. Policies should aim at low achievers in small enough classrooms because only then single-student influences can change the social norm. By improving the average through the worst, the best become even brighter.

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“Last-Place Aversion”: Evidence and Redistributive Implications *

Cited by 243 publications

References 57 publications

How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments

How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments

She Said, She Said: Differential Interpersonal Similarities Predict Unique Linguistic Mimicry in Online Word of Mouth

Endogenous Social Interactions: Which Peers Matter?

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