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Discounting of Environmental Goods and Discounting in Social Contexts David J. Hardisty 1 ; Kerry F. Milch 1 ; Kirstin Appelt 1 ; Michel J. J. Handgraaf.

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Presentation on theme: "Discounting of Environmental Goods and Discounting in Social Contexts David J. Hardisty 1 ; Kerry F. Milch 1 ; Kirstin Appelt 1 ; Michel J. J. Handgraaf."— Presentation transcript:

1 Discounting of Environmental Goods and Discounting in Social Contexts David J. Hardisty 1 ; Kerry F. Milch 1 ; Kirstin Appelt 1 ; Michel J. J. Handgraaf 2 ; Poonam Arora 1 ; David H. Krantz 1 ; Elke Weber 1 1 Columbia University 2 University of Amsterdam SJDM Annual Meeting 11/17/2007

2 How Are Environmental Outcomes Different From Monetary Outcomes? ► Many people are affected ► Social goals ► Difficult to quantify ► Ambiguous probabilities ► Often longer time horizon ► Often less domain familiarity

3 Study Objectives ► Compare discount rates for environmental and monetary outcomes when equalizing the previous factors as much as possible ► Compare with health discounting ► See if typical framing manipulations affect discounting of environmental outcomes

4 Experimental Overview ► 2 Studies ► 184 US residents, recruited & run online ► Within subjects designs ► Hypothetical monetary, environmental & health scenarios ► DV: transformed discount factor, -lnδ

5 Monetary Gain Scenario Imagine you just won a lottery, worth $250, which will be paid to you immediately. However, the lottery commission is giving you the option of receiving a different amount, paid to you one year from now. Imagine you just won a lottery, worth $250, which will be paid to you immediately. However, the lottery commission is giving you the option of receiving a different amount, paid to you one year from now.

6 Indifference Point Elicitation ► Please fill in the number that would make you indifferent between the following two options: A. Win $250 immediately. B. Win $ one year from now. ► Please choose which option you prefer in each pair: [ ] Win $250 immediately [ ] Win $410 one year from now. [ ] Win $250 immediately [ ] Win $390 one year from now. [ ] Win $250 immediately [ ] Win $370 one year from now.......

7 Indifference Point Elicitation ► Please fill in the number that would make you indifferent between the following two options: A. Win $250 immediately. B. Win $ 380 one year from now. [ ] Win $250 immediately [x] Win $410 one year from now. [ ] Win $250 immediately [x] Win $390 one year from now. [x] Win $250 immediately [ ] Win $370 one year from now....... ► Please choose which option you prefer in each pair:

8 Monetary Loss Scenario Imagine you just got a parking fine for $250 … Imagine you just got a parking fine for $250 …

9 Air Quality Scenarios ► Imagine the current air quality in your area is moderate ► Temporary emissions regulation test will immediately improve [worsen] air quality for 3 weeks ► Alternately, the test may be carried out one year from now, for a different length of time ► We are interested in your preference, as someone who will be personally affected by it

10 Indifference Point Elicitation ► Please choose which option you prefer in each pair: [ ] Improved air quality immediately, for 21 days. [ ] Improved air quality one year from now, for 37 days. [ ] Improved air quality immediately, for 21 days. [ ] Improved air quality one year from now, for 35 days. [ ] Improved air quality immediately, for 21 days. [ ] Improved air quality one year from now, for 33 days....... Please fill in the number that would make you indifferent between the following two options: A. Improved air quality immediately, for 21 days. B. Improved air quality one year from now, for ____ days.

11 Other Scenarios ► Improvement in mass transit ► Garbage piling up in the streets Study 2: ► Air Quality Index (rather than # of days) ► Health Gains and Losses (Chapman, 1996)

12 Study 1: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-transit+garbage- Scenario Mean Negative Ln Delta

13 Study 1: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-transit+garbage- Scenario Mean Negative Ln Delta *** *** p <.001

14 Study 1: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-transit+garbage- Scenario Mean Negative Ln Delta *** *** p <.001

15 Study 1: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-transit+garbage- Scenario Mean Negative Ln Delta *** *** p <.001

16 Study 2: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-health+health- Scenario Mean Negative Ln Delta

17 Study 2: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-health+health- Scenario Mean Negative Ln Delta *** p <.001 ***

18 Study 2: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-health+health- Scenario Mean Negative Ln Delta *** p <.001 ***

19 Study 2: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-health+health- Scenario Mean Negative Ln Delta *** *** p <.001

20 Study 2: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-health+health- Scenario Mean Negative Ln Delta ** p <.01 *** p <.001 ** ***

21 Study 2: Results -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 $+$-air+air-health+health- Scenario Mean Negative Ln Delta ** p <.01 *** p <.001 ** *** **

22 Study 2: Discount Correlations $ + $ - Air + Air - Health + Health - $ + $ - -.04 Air +.39 *** -.03 Air - -.01.09.11 Health +.39 *** -.15.04 Health - -.14.269 ** -.13.03-.07 *** ** = p <.01, *** = p <.001

23 Study 2: Discount Correlations $ + $ - Air + Air - Health + Health - $ + $ - -.04 Air +.39 *** -.03 Air - -.01.09.11 Health +.39 *** -.15.04 Health - -.14.269 ** -.13.03-.07 *** ** = p <.01, *** = p <.001

24 Study 2: Discount Correlations $ + $ - Air + Air - Health + Health - $ + $ - -.04 Air +.39 *** -.03 Air - -.01.09.11 Health +.39 *** -.15.04 Health - -.14.269 ** -.13.03-.07 *** ** = p <.01, *** = p <.001

25 Study 2: Discount Correlations $ + $ - Air + Air - Health + Health - $ + $ - -.04 Air +.39 *** -.03 Air - -.01.09.11 Health +.39 *** -.15.04 Health - -.14.269 ** -.13.03-.07 *** ** = p <.01, *** = p <.001

26 Discussion ► When equalizing as many factors as possible, environmental outcomes discounted similarly to monetary outcomes ► Interpretation: Participants applied their strategies for monetary choices to the environmental situations ► Gain/loss framing effects much more important than domain/topic ► Discount rates constructed based on contextual features

27 Intertemporal Choice Predecided vs. Naïve Groups ► Participants: 3-person groups  Drawn from campus clubs, organizations, & offices  N = 33  2 conditions: predecided vs. naïve ► Task: decide whether to accept small additional $ today or to wait for larger sum to be delivered in 3 months  Split evenly among group members  Group decision binding ► Frame: delay vs. accelerate  Delay: $65 today or more in 3 months (up to $120)  Accelerate: $75 in 3 months or smaller amount today (as low as $20)

28 Intertemporal Choice You have won a $65 ($75) check which will be divided evenly among the people in your group and given to each of you at the end of this experiment (in 3 months). However, you could receive a larger amount 3 months from today (smaller amount today).

29 Prize Money Task ► $65 Today ► ??? In Three Months Remember that the amount of the money that you receive today is $65. How large would the amount of money in the second envelope (that you would receive in 3 months) have to be before you would prefer the second envelope?

30 Discounting by Frame & Condition * * p <.05

31 Thanks to... ► Elke Weber & Dave Krantz ► The CRED & PAM labs ► The Center for the Decision Sciences ► The National Science Foundation ► Research Assistants: Aleksandra Petrović, Tara Wedin, & Jill Colvin

32 Thank You!

33 References Chapman, G. B. (1996). Temporal Discounting and Utility for Health and Money. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 771-791


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