welfare and prediction markets are used to determine
play

welfare and prediction markets are used to determine which policies - PowerPoint PPT Presentation

futarchy a form of government in which elected officials define measures of national welfare and prediction markets are used to determine which policies will have the most positive effect. 1 Victor, Im worried we wont be taken


  1. futarchy — a form of government in which elected officials define measures of national welfare and prediction markets are used to determine which policies will have the most positive effect. 1

  2. Victor, I’m worried we won’t be taken seriously. Last time we showed a bunch of dinosaur pictures and discussed a mechanism that only works if you pray. 2

  3. Victor, I’m worried we won’t be taken seriously. Last time we showed a bunch of dinosaur pictures and discussed a mechanism that only works if you pray. You’re right! Maybe we should do some rigorous, intense vector calculus to show we’re smart. 3

  4. Victor, I’m worried we won’t be taken seriously. Last time we showed a bunch of dinosaur pictures and discussed a mechanism that only works if you pray. You’re right! Maybe we should do some rigorous, intense vector calculus to show we’re smart. That’s great, and of course I wouldn’t change a thing — nothing, really! But if I could make one suggestion? What about just giving the homework answers? It’s a crowd pleaser. 4

  5. 5

  6. No, that’s grossly unethical. No one wants us to do that. 6

  7. No, that’s grossly unethical. No one wants us to do that. OK, fair. Let’s just do our usual, clear, concise A-worthy presentation and leave the mathematical details for those interested. 7

  8. No, that’s grossly unethical. No one wants us to do that. OK, fair. Let’s just do our usual, clear, concise A-worthy presentation and leave the mathematical details for those interested. But let’s at least insert some hints that the sharp, participating students will pick up on and appreciate us for? 8

  9. 9

  10. Victor and Mike present 10

  11. Victor Shnayder & Mike Ruberry MARKET SCORING RULE MECHANICS 11

  12. or 12

  13. HW 2 Problem 2 hints 13

  14. Adding ``market’’ to ``scoring rule’’ HOW IS A RAVEN LIKE A WRITING DESK? 14

  15. Scoring rules 15

  16. Proper scoring rule 16

  17. Market scoring rule 17

  18. Agent t’s payoff - Market maker’s payoff 18

  19. 19

  20. Example Question: In the year 2525, (what is the probability that) man is still alive? 20

  21. Example Question: In the year 2525, (what is the probability that) man is still alive? .5 .3 .7 21

  22. Example Question: In the year 2525, (what is the probability that) man is still alive? .5 .3 .7 Case 1: Man is still alive 22

  23. MSR questions • Is the market maker’s loss bounded? • Is an agent’s loss/gain bounded? 23

  24. MSR questions • Why is it unreasonable for agents to have unbounded loss or gain in practice? • What does Hanson predict will lead to convergence? • What does Hanson’s mechanism produce? 24

  25. 25

  26. (witty pop culture reference already in name) THE GREAT AND POWERFUL LOG SCORING RULE 26

  27. Will you be seated? 27

  28. Will you be seated? p? 28

  29. Will you be seated? 29

  30. Will you be seated? 99 0 Table | Walk in Table | Reservation 30

  31. Log scoring rule properties 31

  32. MSR questions (2) • If we want to support conditional bets on x variables, how many events are there? • If you only want to change the probability of one event, how would you report that in the mechanism we have so far? 32

  33. A different perspective HANSON’S PREDICTION MARKET 33

  34. Example Question: In the year 2525, (what is the probability that) man is still alive? .5 .5 Man is alive Man is dead 34

  35. Example Question: In the year 2525, (what is the probability that) man is still alive? .8 .2 .5 Man is alive Man is dead BUY 1.386 “man is dead” 35

  36. Example Question: In the year 2525, (what is the probability that) man is still alive? .8 .2 .2 Man is alive Man is dead BUY 1.386 “man is dead” 36

  37. Example 37

  38. 38

  39. Questions • Does a particular probability distribution map to a unique quantity of shares outstanding? • Does the cost of changing the distribution from p1 to p2 depend on the number of shares outstanding? 39

  40. Discussion • In what circumstances might we want to deploy Hanson’s MSR? • Does futarchy seem like a good idea? 40

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend