Behavioural
Economics

Session 1

Joshua
Foster



Agenda

  1. Introduction to the Course.
  2. Introduction to Behavioural Economics.
  3. Case: Behavioural Insights Team (A).

About Me

Joshua Foster, Ph.D.

  • Feel free to call me Josh.
  • I do research on Psychology and Economics.
  • Specialize in firm competition.

I am always happy to help!

  • Email me at jfoster@ivey.ca.
  • Office Hours are Thursdays, 3:00-4:30 PM.
  • Also available by appointment.

Course Objectives

  1. Find opportunities to include behavioural economic decision making at each decision node within an organization.
  2. Develop an essential library of biases.
  3. Practice environmental design problems.

Course Themes

  1. Psychology in markets.
  2. Subjective evaluations of various tradeoffs.
  3. Detriments of biases in judgment.
  4. Much, much more.
  5. Consideration given to business, consumers, non-profits, public policy.

Course Implementation

  1. Everything you need will be on Learn.
  2. Interactive resources will be provided by MobLab.
    (More info on that later.)

Evaluations & Assessments

Class contribution

30%

Midterm examination (October 22 from 2:00PM-5:00PM)

       35%

Group project (December 2 or December 4)

       35%

 

100%

Questions?

Case: An exercise in choice architecture.

Let's jump right into it.

  • We'll break out into small groups.
  • Take 10 minutes to design your own tax letter in Miro.
  • When times up, we'll share as a class.
Group 1
Armaan Sandhu

Peyton Kou

Newt Chen

Liam Geddes

Mathis Zanzucchi

Madie Erauw
Group 2
Andrew Feng

Jack McDonnell

Emma Jewell

Andrew Yang

Junsoo Pak

Ricky Chiu
Group 3
Nienke Toonen

Cheuk Yee Chen

Aya Aherdan

Johann Abraham

MK Dao

Miriam Youssef
Group 4
Sadiyah Sajjad

Kyle Kim

Ryan Mitchener

Laura Amelie Cordeddu

Caitlin Trinh

Gabriel Sinha
Group 5
Emily Tao

Aidan Zia

Peter Guo

Grace Cousineau

Jackie Yuan

Jessica Luo
Group 6
Cole Smith

Uttej Mannava

Nathan Mark

Oren Joffe

Andrew Korne

Michael Wei
Group 7
Carrie Malkin

Mallery Fischer

Elaine Lin

Otis Ding

Ben Goring

Sarah Smith
Group 8
Abhi Ravipati

Amelie Pirotte

Rongrui Mao

Tessa Fois

Clemence Valet

Elliott Wardle
Group 1
Hooman Mohammadi

Adam Ramkissoon

Alessandro Panetta

Fiona Fan

Carol Xu

Oliver He
Group 2
Evan Scrivener

Kieran Amoroso

Jackson Su

Sarinah Goolam

Francesco Rende

Sudipta Sarkar
Group 3
Ethan Gilhula

Zi Li

Harvey Zhu

Braeden Stewart

Jasmine Gu

Florence Rouvez
Group 4
Sarah Shao

Sanaa El Fatihi

Gabe Evans

Michael Thien

Jackey Lai

Cole Purdell-Lewis
Group 5
Joseph Spadafina

Emmett Koles

Keegan Smith

Hanisha Dhoofar

Andy Hwang

Isabella Valdez
Group 6
Nicholas Giangregorio

Connie Xu

Travis MacKay

Joanne Shao

Xin Zeng

Maurice Ma
Group 7
Hannah Jeon

Laith Amad

Stefano Ruggieri

Jack Hogan

Vanessa Chen

Ryan Pin Harry
Group 8
Steven Grano

Simon Hungate

Andrew Ko

Yusuf Nissar

Emma Bradacs

Small Group Task

Take the next ten minutes and construct your own version of the tax letter with the members of your group.

Summary of Ideas

Who here thinks the letter should:

  • Focus on social norms?
  • On threat of repossession?
  • On something else?
  • How should we decide?

Experimentation

Randomization:

Random assignment of subjects ensures that there are no inherent differences between the groups answering the different questions. The differences in behaviour can be attributed solely to the different questions.

Experimental Manipulation:

To learn what difference something makes in people's behaviour, we vary that one thing between subjects.

Results.

Social norms helped. There was 5% increase in the likelihood delinquent taxpayers submitted a payment in the weeks following their letter -- the difference of millions of pounds in revenue each year.

Key takeaways.

  1. Choice architecture is an important component of many decision-making environments.
  2. Small and seemingly irrelevant features can improve business and social outcomes.
  3. Behavioural economics is uniquely suited to exploring the psychology of tradeoffs and identifying optimal environmental designs.