Natsuka TOKUMARU & Sobei H. ODA (Kyoto Sangyo University, Japan) ESAM 2012, Melbourn Introduction: What’s Fairness Ideals? Flexibility Approach: Dress-up Models Experimental Design Results Summary (Hoffman et al 1985; Cappelen et al 2007)’s experiment: Dictator Game with Production Production Stage Several 1. 2. 3. 4. Team Earnings Distribution Stage Fairness Ideals in distribution: Egalitarian (Inequity Aversion) Liberalist (According to individual’s earnings) Utilitarian (homo economics) (Liberal Egalitarian) Egalitarian (inequity aversion) yi = (π1 + π2)/2 π2 Earning Earning π1 Π 2 Π = π1 + π2 Distribution Distribution Earning Liberalist yi = πi π1 Earning π2 Π = π1 + π2 Distribution Distribution Earning Utilitarian yi π1 = π1 + π 2 π2 Π Earning Π = π1 + π2 Distribution Distribution Our Research Questions: Q1:Are people’s Fairness Ideals fixed one or flexible according to situations? Q2: If they are flexible, which factor is more important when one select a specific fairness ideal? Previous Models: Type Classification Egalitarian Liberalist Subjects Utilitarian Dress-Up Models: Flexibility Approach Ring Winner Loser In mathematical settings, we presupposed that individuals increase/decrease their utility by each fairness ideals Each Individual’s Value Function: ____________ ________ Egalitarian Liberalist ___ Utilitarian Subjects: 100 undergraduates of Kyoto Sangyo University (all faculties). Subjects were divided into two groups: 1) Lotto Game; 2) SPI test Game Randomly pair-matched (2 players game) Consisting of 1) Production stage 2) Distribution Stage Production stage Investment • ai [0, 100, 200, 300] Lotto: Lotto or SPI test •Result qi (2 or 4) [πi= aiqi] Team Income • Π=a1q1 + a2q2 50% subjects randomly get 2; the rest of 50 % get 4 SPI test: 30 questions inner 15 min→scored →top 50% gets 4; bottom 50% gets 2 Distribution stage: Each subjects was informed 1) his and his pair’s investments (0, 100, 200, 300) 2) his and pair’s game result (2 or 4) 3) his and pair’s earnings (0 ~ 1200) 4) team earnings (0 ~ 2400) Then asked to give a distribution proposal which divides team earnings with his pair One of two proposals was randomly selected →final income Lotto and SPI test: not significant difference Disconfirmation of previous researches ※? →SPI test conditions may matter: 1) Test interval was too short (15 min) 2) Comparative assessment (50% high; 50% low) 3) Ability homogeneity (SPI ≒ Entrance Exam ) SPI test might be regarded as a problem of ‘luck’ rather than ability ※(Cherry et al 2002; Schurte et al 2009) We find significant difference in subject’s relative earning compared with his pair If relative earning is higher, subjects prefer liberalist distribution[p=0.0?] π1 π1 Π π2 Production Team Earning Distribution If relative earning is lower, subjects prefer egalitarian distribution [p=0.0?] π2 Π Production Team Earning Distribution Offer Rate by relative Earning 60 50 40 30 20 10 0 0-offer 0<y<0.5 Lower Half-offer Higher 0.5<y<1 ____________ Egalitarian ________ Liberalist ___ Utilitarian By performing distribution experiment with production, we examined whether subject’s fairness ideals change by situations We couldn’t find significant difference in Lotto and SPI test treatment, but this stems from the test conditions We found that subjects’ fairness ideals significantly differ by relative earnings Subjects, whose relative earning is higher tend to select liberalist ideals Subjects, whose relative earnings is lower tend to select egalitarian ideals Fairness ideals are not fixed inner each individuals, but flexible depending on each situation they are in
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