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  1. (1 other version)How to be absolutely fair Part I: The Fairness formula.Stefan Wintein & Conrad Heilmann - forthcoming - Economics and Philosophy.
    We present the first comprehensive theory of fairness that conceives of fairness as having two dimensions: a comparative and an absolute one. The comparative dimension of fairness has traditionally been the main interest of Broomean fairness theories. It has been analysed as satisfying competing individual claims in proportion to their respective strengths. And yet, many key contributors to Broomean fairness agree that ‘absolute’ fairness is important as well. We make this concern precise by introducing the Fairness formula and the absolute (...)
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  • Weighing Up Weighted Lotteries: Scarcity, Overlap Cases, and Fair Inequalities of Chance.Gerard Vong - 2020 - Ethics 130 (3):320-348.
    After providing a novel taxonomy of lottery procedures for fairly distributing scarce goods, I defend a new weighted lottery theory. This taxonomy is necessary because the debate between unweighted and weighted lottery theorists overlooks a range of cases, overlap cases, in which conducting an unweighted lottery is impossible or implausible. Therefore, to account for all such cases, lottery theorists must adopt a weighted lottery. However, while no extant weighted lottery is adequate in overlap cases, my new weighted lottery theory is. (...)
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  • (1 other version)How to be absolutely fair Part II: Philosophy meets economics.Stefan Wintein & Conrad Heilmann - forthcoming - Economics and Philosophy.
    In the article ‘How to be absolutely fair, Part I: the Fairness formula’, we presented the first theory of comparative and absolute fairness. Here, we relate the implications of our Fairness formula to economic theories of fair division. Our analysis makes contributions to both philosophy and economics: to the philosophical literature, we add an axiomatic discussion of proportionality and fairness. To the economic literature, we add an appealing normative theory of absolute and comparative fairness that can be used to evaluate (...)
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