Violations of Stochastic Dominance Michael H. Birnbaum California State University, Fullerton.

Slides:



Advertisements
Similar presentations
New Paradoxes of Risky Decision Making that Refute Prospect Theories Michael H. Birnbaum Fullerton, California, USA.
Advertisements

Among those who cycle most have no regrets Michael H. Birnbaum Decision Research Center, Fullerton.
Science of JDM as an Efficient Game of Mastermind Michael H. Birnbaum California State University, Fullerton Bonn, July 26, 2013.
This Pump Sucks: Testing Transitivity with Individual Data Michael H. Birnbaum and Jeffrey P. Bahra California State University, Fullerton.
1 Upper Cumulative Independence Michael H. Birnbaum California State University, Fullerton.
Lesson 6.6 Probability Students will be able to determine theoretical probabilities.
Algebra 1 Ch 2.8 – Probability & Odds.
1 Lower Distribution Independence Michael H. Birnbaum California State University, Fullerton.
True and Error Models of Response Variation in Judgment and Decision Tasks Michael H. Birnbaum.
Evaluating Non-EU Models Michael H. Birnbaum Fullerton, California, USA.
Who are these People Who Violate Stochastic Dominance, Anyway? What, if anything, are they thinking? Michael H. Birnbaum California State University, Fullerton.
Testing Lexicographic Semi- Order Models: Generalizing the Priority Heuristic Michael H. Birnbaum California State University, Fullerton.
Testing Heuristic Models of Risky Decision Making Michael H. Birnbaum California State University, Fullerton.
1 A Brief History of Descriptive Theories of Decision Making Kiel, June 9, 2005 Michael H. Birnbaum California State University, Fullerton.
Some New Approaches to Old Problems: Behavioral Models of Preference Michael H. Birnbaum California State University, Fullerton.
1 Distribution Independence Michael H. Birnbaum California State University, Fullerton.
1 Upper Tail Independence Michael H. Birnbaum California State University, Fullerton.
Testing Models of Stochastic Dominance Violations Michael H. Birnbaum Decision Research Center California State University, Fullerton.
1 Upper Distribution Independence Michael H. Birnbaum California State University, Fullerton.
Ten “New Paradoxes” Refute Cumulative Prospect Theory of Risky Decision Making Michael H. Birnbaum Decision Research Center California State University,
Risky Business Test Review. The odds of winning most games are.
Testing Critical Properties of Models of Risky Decision Making Michael H. Birnbaum Fullerton, California, USA Sept. 13, 2007 Luxembourg.
Ten “New Paradoxes” Refute Cumulative Prospect Theory of Risky Decision Making Michael H. Birnbaum Decision Research Center California State University,
New Paradoxes of Risky Decision Making that Refute Prospect Theories Michael H. Birnbaum Fullerton, California, USA.
1 The Case Against Prospect Theories of Risky Decision Making Michael H. Birnbaum California State University, Fullerton.
Testing Transitivity (and other Properties) Using a True and Error Model Michael H. Birnbaum.
Web-Based Program of Research on Risky Decision Making Michael H. Birnbaum California State University, Fullerton.
Web-Based Program of Research on Risky Decision Making Michael H. Birnbaum California State University, Fullerton.
1 A Brief History of Descriptive Theories of Decision Making: Lecture 2: SWU and PT Kiel, June 10, 2005 Michael H. Birnbaum California State University,
1 Gain-Loss Separability and Reflection In memory of Ward Edwards Michael H. Birnbaum California State University, Fullerton.
I’m not overweight It just needs redistribution Michael H. Birnbaum California State University, Fullerton.
1 Ten “New Paradoxes” of Risky Decision Making Michael H. Birnbaum Decision Research Center California State University, Fullerton.
1 Gain-Loss Separability Michael H. Birnbaum California State University, Fullerton.
Is there Some Format in Which CPT Violations are Attenuated? Michael H. Birnbaum Decision Research Center California State University, Fullerton.
1 Lower Cumulative Independence Michael H. Birnbaum California State University, Fullerton.
Stochastic Dominance Michael H. Birnbaum Decision Research Center California State University, Fullerton.
Web-Based Program of Research on Risky Decision Making Michael H. Birnbaum California State University, Fullerton.
Testing Transitivity with Individual Data Michael H. Birnbaum and Jeffrey P. Bahra California State University, Fullerton.
1 Restricted Branch Independence Michael H. Birnbaum California State University, Fullerton.
Presidential Address: A Program of Web-Based Research on Decision Making Michael H. Birnbaum SCiP, St. Louis, MO November 18, 2010.
The Counting Principle Counting Outcomes Have you ever seen or heard the Subway or Starbucks advertising campaigns where they talk about the 10,000 different.
Algebra 1 Probability & Odds. Objective  Students will find the probability of an event and the odds of an event.
CONFIDENTIAL 1 Algebra1 Theoretical Probability. CONFIDENTIAL 2 Warm Up 1) choosing a heart. 2) choosing a heart or a diamond. An experiment consists.
Decision Theory: Outcomes and Consequences Not Considered Decision Outcomes Consequences Decision: choose between betting on green or red chip. Objective:
RISK BENEFIT ANALYSIS Special Lectures University of Kuwait Richard Wilson Mallinckrodt Professor of Physics Harvard University January 13th, 14th and.
RISK BENEFIT ANALYSIS Special Lectures University of Kuwait Richard Wilson Mallinckrodt Professor of Physics Harvard University January 13th, 14th and.
Click to begin. Click here for Final Jeopardy Set Theory Exponents Linear Equations Systems of Equations Probability 10 Points 20 Points 30 Points 40.
Probability and Odds Foundations of Algebra. Odds Another way to describe the chance of an event occurring is with odds. The odds in favor of an event.
Algebra II 10.3: Define and Use Probability Quiz : tomorrow.
Testing Transitivity with a True and Error Model Michael H. Birnbaum California State University, Fullerton.
Sect Probability. Def: Probability is the measure of the chances of an event happening A desired outcome is called a success Any other outcome is.
Allais Paradox, Ellsberg Paradox, and the Common Consequence Principle Then: Introduction to Prospect Theory Psychology 466: Judgment & Decision Making.
TRASHKETBALL Probability.
Chapter 7 Section 5.  Binomial Distribution required just two outcomes (success or failure).  Multinomial Distribution can be used when there are more.
Day 16: Data and Probability Goal: To determine the experimental or theoretical probability of an event. Standard: – Select and apply counting.
1: Chance Experiments How likely it is that some events will occur? Suppose you and your friend will play a game using the spinner shown here: Dr. Basta.
Can a Dominatrix Make My Pump Work? Michael H. Birnbaum CSUF Decision Research Center.
Making Predictions with Theoretical Probability. Warm Up You flip a coin three times. 1.Create a tree diagram to find the sample space. 2.How many outcomes.
Playing with Dice 2/20/2016Copyright © 2010 … REMTECH, inc … All Rights Reserved1 ● Rolling a Single Die – 6 possible outcomes (1 – 6) ● Rolling Dice is.
9-1 Probability An activity involving chance, such as rolling a cube, is called an experiment. Each repetition or observation of an experiment is a trial,
PROBABILITY, EVENTS AND OUTCOMES Yo yo yo welcome back!!!!!!!! Happy NEW YEAR! SWBAT: Define probability, event & outcomes Determine the probability of.
Probability - Find the probability of things NOT happening 10 multiple choice questions.
C: Expectation D: The Binomial Distribution 23CD.
SWBAT: - Identify the sample space of a probability experiment and simple events - Use the Fundamental Counting Principle to find the number of ways 2.
Choose Your Own Adventure
Colours.
Lesson 10-6 Theoretical Probability
The Monty Hall Game PLAY Teacher’s Notes.
Chapter 12 Vocabulary.
New Paradoxes of Risky Decision Making that Refute Prospect Theories
Presentation transcript:

Violations of Stochastic Dominance Michael H. Birnbaum California State University, Fullerton

RAM/TAX  Violations of Stochastic Dominance

Which gamble would you prefer to play? Gamble AGamble B 90 reds to win $96 05 blues to win $14 05 whites to win $12 85 reds to win $96 05 blues to win $90 10 whites to win $12 70% of undergrads choose B

Which of these gambles would you prefer to play? Gamble CGamble D 85 reds to win $96 05 greens to win $96 05 blues to win $14 05 whites to win $12 85 reds to win $96 05 greens to win $90 05 blues to win $12 05 whites to win $12 90% choose C over D

Violations of Stochastic Dominance Refute CPT/RDU, predicted by RAM/TAX Both RAM and TAX models predicted this violation of stochastic dominance in advance of the experiment, using parameters fit to other data. These models do not violate transparent dominance (Consequence monotonicity or probability monotonicity).

Questions? How “often” do RAM/TAX models predict violations of Stochastic Dominance? Are these models able to predict anything?

Do RAM/TAX models imply that people should violate stochastic dominance? Rarely. Only in special cases. Consider “random” 3-branch gambles: *Probabilities ~ uniform from 0 to 1. *Consequences ~ uniform from $1 to $100. Consider pairs of random gambles. 1/3 of choices involve Stochastic Dominance, but only 1.8 per 10,000 are predicted violations by TAX. Random study of 1,000 trials would unlikely have found such violations by chance. (Odds: 7:1 against)

Can RAM/TAX account for anything? No. These models are forced to predict violations of stochastic dominance in the special recipe,, given the facts that people are (a) risk-seeking for small p and (b) risk-averse for medium to large p in two-branch gambles.