Entitlements and fairness:: an experimental study of distributive preferences

By E Elisabet Rutström, Melonie B. Williams. 2000

150 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, General Decision Sciences, Safety Research

View Paper: https://www.semanticscholar.org/paper/585f314fa4b7acf908c15979238bf7f121b36539

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Peter Kuhn
2. Gary Charness
3. John E. Roemer

In General Decision Sciences

1. Peter Kuhn
2. Gary Charness
3. John E. Roemer
4. Roman M. Sheremeta
5. Sebastian Kube
6. Ritwik Banerjee

In Safety Research

1. Peter Kuhn
2. Gary Charness
3. John E. Roemer
4. Ernst Fehr
5. I. Barankay
6. Klaus M. Schmidt
7. John A. List
8. Roman M. Sheremeta

Citations in the corpus

• Preferences For Redistribution and Perception of Fairness: An Experimental Study (2014, unknown): “…is 25% and tax cost is $0 and between the 11th and the 12th position when efficiency loss is 25% and tax cost is $0.25 28 This proportion is high compared with the findings of previous experiments involving no income uncertainty and no strategic considerations, such as Rutstrom and Williams (2000).”
• Equality of Opportunity (1998, background): “Various authors (Almås et al., 2010; Cappelen et al., 2007, 2010, 2013; Frohlich et al., 1987, 2004; Konow, 2000; Rutstr€om and Williams, 2000) have conducted experiments to study explicitly what happens to people’s distributive preferences by introducing an earned-money or production stage prior…”
• Why real leisure really matters: incentive effects on real effort in the laboratory (2014, unknown): “…A large number of studies have incorporated other types of real-effort tasks such as solving mazes (Gneezy, Niederle and Rustichini, 2003), puzzles (Rutström and Williams, 2000), anagrams (Charness and Villeval, 2009), optimization problems (Dickinson and Villeval, 2008; Montmarquette et al.,…”
• Lab Labor: What can Labor Economists Learn from the Lab? (2010, background): “…has been an increasing trend in “real-effort” experiments, in which tasks have included proofreading (Frohlich and Oppenheimer 1992), solving puzzles (Rütstrom and Williams 2000), mazes (e.g., Gneezy, Niederle, and Rustichini (2003), anagrams (Charness and Villeval 2009), complex optimization…”