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Evaluating Risky Prospects: The Distribution View artwork
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Evaluating Risky Prospects: The Distribution View

MCMP – Philosophy of Science by Ludwig-Maximilians-Universität München

Apr 18, 201901:03:14Society & Culture

Luc Bovens (LSE) gives a talk at the 6th Munich-Sydney-Tilburg Conference on "Models and Decisions" (10-12 April, 2013) titled "Evaluating Risky Prospects: The Distribution View". Abstract: Policy Analysts need to rank p...

About This Episode

Evaluating Risky Prospects: The Distribution View is an episode from MCMP – Philosophy of Science by Ludwig-Maximilians-Universität München. Luc Bovens (LSE) gives a talk at the 6th Munich-Sydney-Tilburg Conference on "Models and Decisions"...

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Published Apr 18, 2019, 01:03:14 long, audio available.

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What is Evaluating Risky Prospects: The Distribution View about?

Luc Bovens (LSE) gives a talk at the 6th Munich-Sydney-Tilburg Conference on "Models and Decisions" (10-12 April, 2013) titled "Evaluating Risky Prospects: The Distribution View". Abstract: Policy Analysts need to rank policies with risky outcomes. Such policies can be thought off as prospects. A prospect is a matrix of utilities. On the rows we list the people who are affected by the policy. In the columns we list alternative states of the world and specify a probability distribution over the states. I provide a taxonomy of various ex ante and ex post distributional concerns that enter into such policy evaluations and construct a general method that reflects these concerns, integrates the ex ante and ex post calculus, and generates orderings over policies. I show that Parfit’s Priority View is a special case of the Distribution View.

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Evaluating Risky Prospects: The Distribution View is an episode from MCMP – Philosophy of Science by Ludwig-Maximilians-Universität München.

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This episode is 01:03:14 long.

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This episode was published on Apr 18, 2019.

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Evaluating Risky Prospects: The Distribution View is from MCMP – Philosophy of Science by Ludwig-Maximilians-Universität München.

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Published Apr 18, 2019 and 01:03:14 long