9483
AiS

Session 8a

Joshua
Foster



Agenda

  1. MobLab Simulation: Let's go fishing!
  2. Case: OPOWER: Increasing Energy Efficiency through Normative Influence (A).
  3. Group problem: implementing a behavioural strategy for OPOWER.

Simulation instructions.

  • The situation: there is an open-access fishery (i.e. a lake).
  • What you do: choose how many fish to catch out of the lake.
  • Your objective: strategically fish the lake in a payoff-maximizing way.

How it works.

  • Everyone is randomly placed in groups of 4 on a lake with 160 fish.
  • There will be five rounds of fishing. In each round, you will privately decide how many fish to catch.
  • A round ends when either (1) everyone decides to stop fishing or (2) time runs out (45s per round).
  • When the round ends, the remaining fish stock doubles (up to 160).

Determining your payoff.

  • Your payoff is equal to the number of fish you caught, plus your share of the final round's fish stock.
  • Example: suppose you caught a total of 85 fish and the final round had fish stock of 30.
  • Then your payoff is $85+\frac{30\cdot 2}{4}=100$.

Questions?

What was your fishing strategy?

Tragedy of the Commons.

When a common resource is over-utilized because it is rivalrous and non-excludable.

Real-world examples?

How can climate change be understood as a Tragedy of the Commons?

What are some standard economic approaches to managing climate change?

What is OPOWER's innovation?

Descriptive norm.

Whether the behaviour was present.

Injunctive norm.

Whether the behaviour was socially appropriate.

How does OPOWER engage with these behavioural factors to reduce energy use?

Problem: the "magnetic middle".

Mean reversion occurs when otherwise uninformed individuals learn they are better than average. Examples:

  • Students learn they are below-average partiers.
  • Energy users learn they are below-average consumers.

"But there was a way to avoid this phenomenon. Studies showed that layering an injunctive norm on top of the descriptive norm was effective in curtailing [this effect]. The key was to give individuals data on their behavior relative to the average and to provide reinforcement or approval to those who had already embraced the promoted behavior."

The task.

Design three messages (High / Average / Low users).

  • Assume High is +18%, Average is ±3%, and Low is –15% vs peers.
  • Rules: no average anchor for low users; apply praise + commit; use identity; provide specific next action.
  • Write one Do-Not-Use line that would cause a magnetic middle.
  • Specify a mini test (e.g. outcome metric, success rule).
Group 1Alan HwangAaditya GeedKayla VargasChaitanya GandhiAlice Wu
Group 2Akber Amanulla KhanDHDan HicksSean MorrisQuoc Lap NguyenKiera Treloar
Group 3Derek AdamRamnik MinhasJosh GeAngelita MartinElisabeth Iannucci
Group 4Maro EgbediCalvin ZehrAdam MeadowsAanal PatelMichael Schumacher
Group 5Sam MacyIshani AdityanJennifer EstradaMac AstritisSangeetha Sambamoorthy
Group 6Silvia Pacheco DiazSifan WangRio Baudisch-McCabeKendall ZhangMay El Damatty
Group 7Princess AdeniranCherry QianJudith OsemekeIshi Khamesra
Group 8Iain SmithRobert GrayValentina EfionayiBella Natasha Diego

Small Group Task

Work with your group to design three messages for high (+18%) / average (±3%) / low (–15%) users, and specify your outcome metric / success rule.

Key takeaways.

Some markets suffer from self-inflicted failures.

  1. Tragedy of the commons for finite resources.
  2. Free-riding for "infinite" resources.

Behaviourally, social norms demonstrate non-pecuniary incentives are important considerations when designing markets and policies.