The available evidence suggests the percent measure should not be used to study inequality: Reply to Norton and Ariely
Journal Title: Judgment and Decision Making - Year 2013, Vol 8, Issue 3
Abstract
In this reply, we reiterate the main point of our 2012 paper, which was that the measure of inequality used by Norton and Ariely (2011) was too difficult for it to yield meaningful results. We describe additional evidence for this conclusion, and we also challenge the conclusion that political differences in perceived and desired inequality are small.
Authors and Affiliations
Kimmo Eriksson and Brent Simpson
Keywords
Related Articles
- EP ID EP678068
- DOI -
- Views 140
- Downloads 0
A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory
Combining meaning, memory, and development, the perennially popular topic of intuition can be approached in a new way. Fuzzy-trace theory integrates these topics by distinguishing between meaning-based gist representatio...
The multiplicity of emotions: A framework of emotional functions in decision making
A four-fold classification of emotions with respect to their functions in decision making is proposed. It is argued that emotions are not homogenous concerning their role in decision making, but that four distinct functi...
Number preferences in lotteries
We explore people’s preferences for numbers in large proprietary data sets from two different lottery games. We find that choice is far from uniform, and exhibits some familiar and some new tendencies and biases. Players...
Making good cider out of bad apples — Signaling expectations boosts cooperation among would-be free riders
The present study investigates how group-cooperation heuristics boost voluntary contributions in a repeated public goods game. We manipulate two separate factors in a two-person public goods game: i) group composition (S...
Running experiments on Amazon Mechanical Turk
Although Mechanical Turk has recently become popular among social scientists as a source of experimental data, doubts may linger about the quality of data provided by subjects recruited from online labor markets. We addr...