Time Horizons in Interdependent Security International Conference on Social Dilemmas Kyoto, Japan August 24, 2009 David Hardisty, Howard Kunreuther, David.

Slides:



Advertisements
Similar presentations
Stephen C. Court Presented at
Advertisements

Trieschmann, Hoyt & Sommer Introduction to Risk Chapter 1 ©2005, Thomson/South-Western.
Choices Involving Risk
Neural Correlates of Trust and Adaptation in a Dynamic Neuroeconomic Task Project Presentation Adam P.R. Smith, Esther Kessler, Chiara Fiorentini, Fiona.
Chapter Outline 7.1 Risk Aversion and Demand for Insurance by Individuals The Effects of Insurance on Wealth Risk Aversion Other Factors Affecting an Individual’s.
Chapter 5: Time Value of Money: The Basic Concepts
Infinitely Repeated Games
NON - zero sum games.
Crime, Punishment, and Forgiveness
Other Issues in Game Theory BusinessNegotiationsContracts.
Evolution and Repeated Games D. Fudenberg (Harvard) E. Maskin (IAS, Princeton)
CHAPTER 14 Real Options.
Non-Cooperative Game Theory To define a game, you need to know three things: –The set of players –The strategy sets of the players (i.e., the actions they.
Infinitely Repeated Games Econ 171. Finitely Repeated Game Take any game play it, then play it again, for a specified number of times. The game that is.
Choices Involving Risk
Game Theory. Games Oligopolist Play ▫Each oligopolist realizes both that its profit depends on what its competitor does and that its competitor’s profit.
I Want It Now!: Query Theory Explains Discounting Anomalies for Gains and Losses Kirstin C. Appelt 1 David J. Hardisty 2 Elke U. Weber 1 1 Columbia University.
When Intuition Differs from Relative Frequency
Time Horizons in Interdependent Security David J. Hardisty, Howard Kunreuther, David H. Krantz, & Poonam Arora Columbia University & University of Pennsylvania.
Three-way choice Option Price Option Value Real Options Calls & Puts Endogenous/Exogenous Option Price Option Value Real Options Calls & Puts Endogenous/Exogenous.
David Hardisty Sauder School of Business Operations and Logistics Seminar September 8 th, 2014.
Chapter 3 Producing Data 1. During most of this semester we go about statistics as if we already have data to work with. This is okay, but a little misleading.
Discounting of Environmental Goods and Discounting in Social Contexts David J. Hardisty 1 ; Kerry F. Milch 1 ; Kirstin Appelt 1 ; Michel J. J. Handgraaf.
Group Cooperation Under Uncertainty Min Gong Advisors: Jonathan Baron Howard Kunreuther.
Uncertainty and Consumer Behavior
1 Game Theory Here we study a method for thinking about oligopoly situations. As we consider some terminology, we will see the simultaneous move, one shot.
Game Theory Here we study a method for thinking about oligopoly situations. As we consider some terminology, we will see the simultaneous move, one shot.
Social Learning. A Guessing Game Why are Wolfgang Puck restaurants so crowded? Why do employers turn down promising job candidates on the basis of rejections.
QR 38 3/20/07, More on repeated games in IR I.Folk theorem II.Other solutions to the PD III.Repeated PDs in practice.
1 Section 2d Game theory Game theory is a way of thinking about situations where there is interaction between individuals or institutions. The parties.
Group Cooperation Under Uncertainty Min Gong, Jonathan Baron, Howard Kunreuther 11/16/2008.
263 US residents completed the study over the internet, making hypothetical choices between immediate and future monetary and environmental gains (within-subjects.
Copyright © 2003 McGraw Hill Ryerson Limited 4-1 prepared by: Carol Edwards BA, MBA, CFA Instructor, Finance British Columbia Institute of Technology Fundamentals.
Risk Management & Insurance
Rate of Return Lesson 1 Calculating the Rate of Return on Stocks and Bonds.
Portfolio Management Lecture: 26 Course Code: MBF702.
Game Theory, Strategic Decision Making, and Behavioral Economics 11 Game Theory, Strategic Decision Making, and Behavioral Economics All men can see the.
Decision making Making decisions Optimal decisions Violations of rationality.
A Game-Theoretic Approach to Strategic Behavior. Chapter Outline ©2015 McGraw-Hill Education. All Rights Reserved. 2 The Prisoner’s Dilemma: An Introduction.
Dynamic Games of complete information: Backward Induction and Subgame perfection - Repeated Games -
CHAPTER TWO UNDERSTANDING RISK AND RETURN © 2001 South-Western College Publishing.
Reputational advantages and disadvantages of punishment toward norm-violators Yutaka Horita Toshio Yamagishi Hokkaido University 13th international conference.
UNDERSTANDING RISK AND RETURN CHAPTER TWO Practical Investment Management Robert A. Strong.
Understanding Human Behavior Helps Us Understand Investor Behavior MA2N0246 Tsatsral Dorjsuren.
What’s It Worth? - The Movies - CSX Business Explorer Post 333 December, 2010.
Chapter Six Real Interest Rates. Copyright © Houghton Mifflin Company. All rights reserved.6 | 2 Investors care about how much they can purchase with.
McGraw-Hill/Irwin Copyright  2008 by The McGraw-Hill Companies, Inc. All rights reserved. GAME THEORY, STRATEGIC DECISION MAKING, AND BEHAVIORAL ECONOMICS.
Stephen G. CECCHETTI Kermit L. SCHOENHOLTZ Understanding Risk Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
The effect of common knowledge – Why do people cooperate more when they face a social dilemma situation where mutual cooperation yields restoration of.
Decision making Under Risk & Uncertainty. PAWAN MADUSHANKA MADUSHAN WIJEMANNA.
What games do economists play? To see more of our products visit our website at Tom Allen, Head of Economics, Eton College.
1 Chapter 1: Introduction Risk regarding the possibility of loss can be especially problematic If a loss is certain to occur –It may be planned for in.
Voter Turnout. Overview Recap the “Paradox” of Voting Incentives and Voter Turnout Voter Mobilization.
Warm Up If Babe Ruth has a 57% chance of hitting a home run every time he is at bat, run a simulation to find out his chances of hitting a homerun at least.
Experimental Design Econ 176, Fall Some Terminology Session: A single meeting at which observations are made on a group of subjects. Experiment:
Taking pride in cooperation Job van der Schalk,Tony Manstead Cardiff University, School of Psychology Martin Bruder University of Konstanz.
GamblingGambling What are the odds? Jessica Judd.
1 CHAPTER 12 Real Options Real options Decision trees Application of financial options to real options.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 4 Designing Studies 4.2Experiments.
Oligopoly and Game Theory Topic Students should be able to: Use simple game theory to illustrate the interdependence that exists in oligopolistic.
Where to look and why? : Utility and heuristics as explanations of cooperation in one-shot PD games Shigehito Tanida & Toshio Yamagishi Hokkaido University.
Money and Banking Lecture 11. Review of the Previous Lecture Application of Present Value Concept Internal Rate of Return Bond Pricing Real Vs Nominal.
DADSS Lecture 3: Using Excel with Time Value Calculations John Gasper.
Money and Banking Lecture 10. Review of the Previous Lecture Application of Present Value Concept Compound Annual Rate Interest Rates vs Discount Rate.
Correlated equilibria, good and bad: an experimental study
Module 32 Game Theory.
Chapter Five Understanding Risk.
UBC Sauder, UPenn, Columbia U, Manhattan College, Western Ivey
"Once. No. Twenty times. Sure
"Once. No. Twenty times. Sure
Presentation transcript:

Time Horizons in Interdependent Security International Conference on Social Dilemmas Kyoto, Japan August 24, 2009 David Hardisty, Howard Kunreuther, David Krantz, & Poonam Arora Columbia University

Co-Authors NSF Grants SES & SES Howard KunreutherDave KrantzPoonam Arora

Thank You ICSD 2009 Organizing Committee Satoshi Fujii Toshio Yamagishi Tsuyoshi Hatori Akira Kikuchi Haruna Suzuki

IDS Background Interdependent Security (IDS) is a social dilemma with stochastic losses examples: border security pest/disease control risky investment

Previous Findings on IDS Individuals cooperate less in IDS than in a typical repeated PD (Kunreuther et al, in press) However groups cooperate more in IDS (Gong, Baron & Kunreuther, in preparation)

Research Motivation (1) Previous studies used probabilities of 20% to 80% Real life risks are often much lower

Research Motivation (2) In real life, players often precommit their strategy (whether to invest in protection) for several years in advance at a time example: CO 2 reductions

Research Motivation (2) Normally, greater delay is associated with increased uncertainty example: $10 promised today or in 20 years However, with repeated low probability events, increasing time horizon may increase subjective probability example: chance of fire today or in the next 20 years

Study 1 Question 1: Do previous findings of low (~30%) cooperation under uncertainty hold with low probabilities? Or will it be even lower? Question 2: Does precommitment raise investment rates?

IDS instructions (pg 1) Scenario: Imagine you are an investor in Indonesia and you have a risky joint venture that earns 8,500 Rp per year. However, there is a small chance that you and/or your counterpart will suffer a loss of 40,000 Rp in a given year. You have the option to pay 1,400 Rp for a safety measure each year to protect against the possible loss. However, you will only be fully protected if both you and your counterpart invest in protection. The loss has an equal chance of happening each year, regardless of whether it occurred in the previous year.

IDS payoff matrix Your Counterpart INVESTNOT INVEST YouINVEST- You definitely lose 1,400 Rp, and have a 0% chance of the large loss occurring. - Your counterpart definitely loses 1,400 Rp, and has a 0% chance of the large loss occurring. - You definitely lose 1,400 Rp and have a 1% chance of losing an additional 40,000 Rp. - Your counterpart has a 3% chance of losing 40,000 Rp and a 97% chance of losing 0 Rp. NOT INVEST - You have a 3% chance of losing 40,000 Rp and a 97% chance of losing 0 Rp. - Your counterpart definitely loses 1,400 Rp and has a 1% chance of losing an additional 40,000 Rp. - You have a 4% chance of losing 40,000 Rp and a 96% chance of losing 0 Rp. - Your counterpart has a 4% chance of losing 40,000 Rp and a 96% chance of losing 0 Rp.

PD payoff matrix Your Counterpart INVESTNOT INVEST YouINVEST- You lose 1,400 Rp. - Your counterpart loses 1,400 Rp. - You lose 1,800 Rp. - Your counterpart loses 1,200 Rp. NOT INVEST - You lose 1,200 Rp. - Your counterpart loses 1,800 Rp. - You lose 1,600 Rp. - Your counterpart loses 1,600 Rp.

IDS: Choices Will you invest in protection this year? INVEST | NOT INVEST Do you think your counterpart will invest in protection this year? DEFINITELY | PROBABLY | PROBABLY NOT | DEFINITELY NOT

Precommitted Condition Will you invest in protection in year 1? INVEST | NOT INVEST Do you think your counterpart will invest in protection in year 1? DEFINITELY | PROBABLY | PROBABLY NOT | DEFINITELY NOT ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Will you invest in protection in year 2? INVEST | NOT INVEST Do you think your counterpart will invest in protection in year 2? DEFINITELY | PROBABLY | PROBABLY NOT | DEFINITELY NOT ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [...] Will you invest in protection in year 20? INVEST | NOT INVEST Do you think your counterpart will invest in protection in year 20? DEFINITELY | PROBABLY | PROBABLY NOT | DEFINITELY NOT

Feedback Year 1 Results Your choice: INVEST Your counterpart's choice: NOT INVEST The random number was: 88 This Means For you, the large loss: did not occur For your counterpart, the large loss: did not occur Result: You lost 1,400 Rp, and your counterpart lost 0 Rp

Design Details participants played blocks of 20 rounds (years) with an anonymous partner 4 blocks total random pairing before each block 1 block paid out for real money all manipulations between subject, 30 subjects per group

PD vs IDS Block 1Block 2Block 3Block 4 Investment Proportion IDS rep PD rep

PD vs IDS Block 1Block 2Block 3Block 4 Investment Proportion IDS rep PD rep

PD vs IDS Block 1Block 2Block 3Block 4 Investment Proportion IDS rep PD rep

Conclusion 1 Uncertainty lowers cooperation between individuals playing loss framed dilemma Why? - Perhaps uncertainty makes players more greedy (Johansson & Svedsater, yesterday) - Perhaps uncertainty transforms the game from a social dilemma to a game of chance

IDS: repeated vs precommitted Block 1Block 2Block 3Block 4 Investment Proportion IDS rep IDS pre PD rep

IDS: repeated vs precommitted Block 1Block 2Block 3Block 4 Investment Proportion IDS rep IDS pre PD rep

Conclusion 2 Under uncertainty, precommitment raises cooperation Why? Perhaps precommitment raises subjective probability of the loss

Precommitted Participants Estimated Higher Cumulative Probability

Interesting results, but a major confound: Feedback

Study 2 Question: Do individuals playing a (non-dilemma) solo game invest more often when precommitting?

Solo payoff matrix INVEST- You definitely lose 1,400 Rp, and have a 0% chance of the large loss occurring. NOT INVEST- You have a 4% chance of losing 40,000 Rp and a 96% chance of losing 0 Rp.

IDS repeated vs Solo repeated

Conclusion 3 IDS players are mostly playing a game of chance, showing risk-seeking for losses

Support 3

Solo: repeated vs precommited

Block 1Block 2Block 3Block 4 Investment Proportion IDS rep IDS pre Solo rep Solo pre

Conclusion 4 Precommitment raises investment rates by individuals Why? Perhaps subjective probability is increased

How else can we improve investment under uncertainty? Perhaps environmental framing can highlight social goals and raise investment rates However, earlier results are mixed

Study 3 Question: Will environmental framing will increase investment rates?

IDS environmental instructions Scenario: Imagine you are a farmer in Indonesia. You get an annual yield of 8,500 Rupiah (Rp) from your potato crops. Both you and a neighboring farmer use the pesticide Aldicarb on your potato crops. However, there is a small risk of groundwater contamination each year from this pesticide, which is toxic. If contamination occurs, you and/or your neighboring farmer will suffer a loss of 40,000 Rp, to pay for groundwater cleanup. You have the option to switch to a more expensive, though safer, pesticide, at the cost of 1,400 Rp annually, to avoid groundwater contamination. However, you will only be fully protected if both you and your counterpart invest in the safer pesticide. The groundwater contamination has an equal chance of happening each year, regardless of whether it occurred in the previous year.

IDS environmental payoff matrix Your Counterpart INVESTNOT INVEST YouINVEST- You definitely lose 1,400 Rp, and have a 0% chance of groundwater contamination. - Your counterpart definitely loses 1,400 Rp, and has a 0% chance of groundwater contamination. - You definitely lose 1,400 Rp and have a 1% chance of groundwater contamination occuring and losing an additional 40,000 Rp. - Your counterpart has a 3% chance of losing 40,000 Rp due to groundwater contamination and a 97% chance of losing 0 Rp. NOT INVEST - You have a 3% chance of losing 40,000 Rp due to groundwater contamination and a 97% chance of losing 0 Rp. - Your counterpart definitely loses 1,400 Rp and has a 1% chance of groundwater contamination occuring and losing an additional 40,000 Rp. - You have a 4% chance of groundwater contamination occurring and losing 40,000 Rp and a 96% chance of losing 0 Rp. - Your counterpart has a 4% chance of groundwater contamination occurring and losing 40,000 Rp and a 96% chance of losing 0 Rp.

IDS Environmental: Choices Will you invest in the safer pesticide this year? INVEST | NOT INVEST Do you think your counterpart will invest in the safer pesticide this year? DEFINITELY | PROBABLY | PROBABLY NOT | DEFINITELY NOT

Feedback Year 1 Results Your choice: INVEST Your counterpart's choice: NOT INVEST The random number was: 88 This Means For you, groundwater contamination: did not occur For your counterpart, groundwater contamination : did not occur Result: You lost 1,400 Rp, and your counterpart lost 0 Rp

Environmental Frame Results

Conclusion 5 Environmental framing may not have a significant effect on investment rates

Study 4 Question: How does precommitment affect investment rates in a deterministic prisoners dilemma

IDD payoff matrix Your Counterpart INVESTNOT INVEST YouINVEST- You lose 1,400 Rp. - Your counterpart loses 1,400 Rp. - You lose 1,800 Rp. - Your counterpart loses 1,200 Rp. NOT INVEST - You lose 1,200 Rp. - Your counterpart loses 1,800 Rp. - You lose 1,600 Rp. - Your counterpart loses 1,600 Rp.

PD: Repeated vs Precommitted Block 1Block 2Block 3Block 4 Investment Proportion PD rep PD pre

PD: Repeated vs Precommitted Block 1Block 2Block 3Block 4 Investment Proportion PD rep PD pre

Conclusion 6 Precommitment reduces investment rates in deterministic social dilemmas Why? Perhaps individuals realize there is no opportunity for reciprocity and are worried about being a sucker

Summary Precommitment lowers cooperation in regular prisoners dilemma, but raises it in interdependent security situations Why? In IDS, precommitment raises subjective probability of loss, but in the deterministic case it removes the possibility of reciprocity

Thank You!

References Gong, M. J. Baron and H. Kunreuther (2008). Group Cooperation under Uncertainty. Wharton Risk Center Working Paper # Kunreuther, H., G. Silvasi, E. Bradlow, and D. Small (in press). Deterministic and Stochastic Prisoner's Dilemma Games: Experiments in Interdependent Security. Judgment and Decision Making. Xiao, Erte & Kunreuther, H. (in preparation). Punishment and Cooperation in Stochastic Social Dilemmas.

Questions Do you believe the risk perception story? What new conditions would be most interesting? All-or-nothing precommitment? Group play? Change the payoffs (so non-investment dominates)? What journals do you recommend publishing in? What are the biggest holes in this story?

What about individual differences?

Comprehensive Health Insurance

Gender

First-Round Comparison

Overall Comparison

20-Round Profile

80 Round Profile

What did people say?

IDS - Repeated The probability of loosing was too low so I didn't decide to invest. For the most part, it seemed better NOT to invest than to invest. I found that the initial 1-5 years influenced how I invested in the remaining 15 years. So if I mainly did NOT invest the first 5 years, then I didn't invest for the remaining 15 years. I also found that my partner followed how I invested if I had no losses. I chose not to invest dut to low probality of loss It was a little intimidating, but after awhile an understanding occurred between myself and my partner and we flowed fairly well over the years. I chose to invest in the beginning so I wouldn't end up with negative numbers. Afterwards, I chose not to invest because I figured the chances of losing 40,000 were small, and even if I lost the money once, I would probably not lose it again in the 20 year span.

IDS - Precommitted I chose to invest almost all 20 times except for one or 2 years to make an extra bonus An interesting game where I can observe that some people do take risks. I chose to invest in every year and every scenario since statistically it makes more sense to invest in protection. The loss is big compared to the amount spent on protection and there is an average of more than one occurrence of loss in a 20 year period even if only one person invests. I invested too many times the first round, and when I saw that my partner rarely invested and suffered little losses, I invested less as well by the next round. I felt rather smug when he/she lost 40k while I invested-- but I thought it was interesting that I invested a lot more often than most of my counterparts. Initially I was just playing it safe, and then for the 2 later rounds I pretty much went with the Nash Equilibrium choice of Not Investing.

Solo - Repeated At first, it seemed as though investing would be a good idea. After the second round, I realized that not investing would probably give a better payout because the chances of actually suffering a loss was so slim. I mainly choose to not invest because there was only a 4% chance of losing Rp. But then every 4 or 5 turns, I would randomly decide to invest in protection. Now that I think about it, even if I hadn't gone with investing at all, the outcome may have been the same or maybe even better. I would invest at points where I thought that I was happy enough with my cumulative gains that I didn't want to risk losing what I had already gained.

Solo - Precommitted It's obvious safer to invest, and the investment totally worth that. Even if you invest for 20 years, the cost is lower than one large loss which might happen every year. However, as there was no large loss happened in the first session, I therefore chose to take some risks in following sessions. The potential loss from investing every time seemed less than from not investing more often where even one bad year could produce less income Rp possible loss * 4% chance = 1600 Rp loss expected. So in general it's worth it to invest. However, given the low likelihood, it might be worth it to take a risk & skip some years.

Why Groups Cooperate More than Individuals in SPD - Safety Oriented to Avoid Guilt and Blame People take less risk when their decisions affect others (Charness and Jackson 2008) In DPD –Defection is always better off –No ex post guilt or blame In SPD –Defection has a higher expected payoff, but also a higher probability of suffering a loss. –If a large loss follows defection ex post guilt and ex post blame for the one who suggested defection –Group members favor safety-oriented strategy (cooperation) to avoid ex post guilt and blame Reversed discontinuity effect

Why Groups Cooperate More than Individuals in SPD -Social Pressure to Conform to Certain Norms Three norms are most relevant in PD games: Being pro-group, Being smart, and Being nice Similar to the group morality and individual morality argument (Cohen 2006; Pinter 2007) In DPD –Both pro-group (group morality) and smart norm clearly indicate defection –Niceness (individual morality) is clouded In SPD –Unclear what strategy is pro-group and smart –Being nice is socially desirable and more salient than in DPD.