why is anyone on meal plan? an analysis of dining economics at brown university
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Why is Anyone On Meal Plan? An Analysis of Dining Economics at Brown University. By Zach, Grace, and Liv. Background. People need to eat Many food options around Brown University On campus options Joes, Ratty, V-Dub, Blue Room, etc. Off campus Chipotle, Better Burger, Mama Kims , etc - PowerPoint PPT PresentationTRANSCRIPT
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Why is Anyone On Meal Plan?An Analysis of Dining Economics at
Brown UniversityBy Zach, Grace, and Liv
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Background• People need to eat• Many food options around Brown University• On campus options• Joes, Ratty, V-Dub, Blue Room, etc.
• Off campus• Chipotle, Better Burger, Mama Kims, etc
• Students have the option to eat at any of these establishments, but the method of payment differs between them
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Many Ways to Pay• Off campus only accepts cash• On campus accepts Meal Credits (MC) or cash• Cost/meal is 1 swipe• Dollar value varies between institution• Joes - $6.60• Ratty - $12.60, also dependent on time of day
• “Although meals are available on a cash basis, plans offer a much lower per-meal cost and are therefore a better value.” – Food Services
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Menu of Options AvailablePlan Cost
Meals/Week
Meals/Year
Optimal Cost/Meal % on plan
Flex 460 $4,284 N/A 546 $7.85 50.0%Flex 330 $4,030 N/A 361 $11.16 7.5%Flex 240 $3,654 N/A 261 $14.00 10.0%
Meals/Week 20 $4,284 20 34 $6.36 21.5%
Meals/Week 14 $4,030 14 27 $8.48 0.9%
Meals/Week 10 $3,654 10 19 $10.78 1.9%
Optimal : average cost/ meal if use up all the credits and points We convert points into credits 1 credit = 6.6 points
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Survey • 117 Randomly Chosen Brown Students
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Histogram of Survey Data
# of meal credits used per week
# of
par
ticip
ants
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Odd Observation• Most (~80%) of people are on meal plan• Most of those (72%) are on one of the two biggest plans• At the end of the year/semester, Joes is looted• 50% of people end the year with 20 or more unused meal credits• Average person wastes ~31.6 credits
• Are people overpurchasing?
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Questions
•With a menu of meal plans available, and the option to not be on meal plan at all, how do people choose plans?
•What does this choice say about peoples perception of off campus costs?
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Standard Economic Explanation• People choose the plan that minimizes their total food costs
• Buying larger plans that might waste credits is a product of peoples attempts to purchase larger bundles, get economies of scale.
• People purchase on campus rather than off campus because it is cheaper
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Simplifications/Assumptions in the Model
• Sole determinant of behavior is desire to minimize costs• Quality, convenience, portion size, not considered
• People’s consumption behavior stays the same no matter what plans they are on• People can only spend integer number of credits • People know their distribution of consumption• Once people run out of meals, they cannot eat at the on-campus eateries
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Ideal VS Actual Data • Ideal data would be individual’s daily consumption pattern for a year, split into meal credits used, by eatery
• Actual Data: We randomly sampled 94 people and asked how many meal credits they used yesterday and today and then derived their consumption pattern per week from there.
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The ModelMin j| i,z X ( i, j ,Z) Xi,j = Pj +Pr ( Ci>aj) * E [ ci-ai|ci> ai ]*Z Ci ~ D (μ , σ ) • Plan j = aj ~ # of meals in the bundle Pj ~ price of the bundle• Z – price per off-campus meal• X(I, j, z) – total cost of consumption• C i - # of total meals consumed per person • Pr ( C i>aj) – probability of consuming more meals than the bundle• Flex 460 - Pr ( C i>546), Ci is annual consumption• Weekly 20 – Pr( Sum(Max( C i-3,0),1,224)>34)
• E [ ci-ai|ci> ai ] – expected # of meals consume off-campus
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Methodology• Derive people’s meal credits consumption pattern by looking at their meal credits used in the past two days • Split into two groups and calculate its mean, distribution. • Big Eaters: People on the highest two meal plans, Flex 460
and 20 meals/week• Small eaters: Rest of the population
• Calculate Probability consumption greater than max allowed, expected value given consumption is greater than max allowed, to determine expected meals beyond what is available on plan
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Methodology
• Given this number of meals, cost compare to being on no meals plan such that total cost = (mean consumption)*price Z• Implies cost that makes you indifferent between being on a given meal plan, or not, for a certain price of off campus food
• The plan that has the lowest Z value is considered the cheapest
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Results (1)Distribution Big Eaters
Flex 460 Purchasers (subset of Big Eaters) Little Eaters
n 73 57 21
Avg. meals/year 567.67 535.36 378.67Std. Dev 31.19 35.39 41.28Pr exceed daily limit (20, 20, 14) 8.30% 10% 9.10%Pr exceed weekly limit(20, 20, 14) 18% 11% 14.30%
Pr exceed annual limit(Flex 460, Flex 460, Flex 330) 84% 39.00% 66%
Annual expected meals over max (20, 20, 14) 4.22 4.518 27.2
Annual expected meals over max(Flex 460, Flex 460, Flex 330) 29.2 10.14 26.598
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Results (2)
Distribution Big EatersFlex 460 Purchasers (subset of Big Eaters) Little Eaters
Breakeven $7.61 $8.03 $11.48
Optimal Meal Plan 20/week 20/week 14/week
Savings vs. 2nd best, Z=10 $247.82 $86.04 ($506.70)
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Answers to the Previous Question• Q: What are people’s perception of off campus costs?• Big eaters are consuming on campus meals at cost on average
on par with the off campus meal. Small eaters are consuming at a rate that’s above average cost of off campus meals.
• Q: With a menu of meal plans available, and the option to not be on meal plan at all, how do people choose plans?• Big eaters are cost conscious to a degree but they are not
choosing the optimal plan. Small eaters are not cost minimizing.
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New questions from the result
•Why are big eaters on flex instead of weekly plans?
•Why do small eaters choose to stay on meal plan?
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Deferred Loss Realization• People may be sensitive to “wasting” meal credits• Odean gives account of traders who don’t sell
losing investments quickly• People don’t like recognizing “losses” – even if they’ve
already occurred• Credits are “wasted” when they are no longer able to be used• Flex gives less credits, so less are wasted, and only occurs at end of the year
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Considering Wasted Meal Credits as a Cost• People may view meal credits as equivalent to money, don’t want to waste it• “Saving” when they waste fewer meal credits, even though fiscal cost already recognized• Thaler gives account of people who “save” in one account, while spending out of another “account”
•Not using a credit has negative utility
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Model Adjustment•Utility = Ideal consumption – Overconsumption – Under consumption•U = Ui - Pr ( Ci>aj) * E [ ci-ai|ci> ai ]*Z - Pr ( Ci<aj) * E [ai-ci|ci< ai ]*Z’• Z’ is the “cost” of wasting a meal• Draw Graph to illustrate
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Big Eater ExplanationWeekly 20 Flex
Pr Wasting Meal/Day 57%N/A
Pr Wasting Meal/Year N/A 75%
Expected "Wasted" Meals 168 17
Dollar Cost $4,299.36 $4,385.40
Disutiliy Coeff (Z’) 0.57 0.57
New Utility 4395.12 4395.09
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Possible Reason for Small EatersHighest on-campus meal plan
B
M
Smaller on-campus meal planB
M
Paying off-campus meals (yearly)B
MB=Behave, M=Misbehave
(-4400, 3900)
(-4400, 3900)
(-4200, 3900)
(-4200, 3900)
(-4000, 4000)
(-4500, 4500)
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Principal-Agent Problem• Principal-agent relationship• Restaurant owner—waiter• Software company—salesman
• Interests of agents are not perfectly aligned with those of the principals • Asymmetrical Information• Moral Hazard
• Ohad Kadan, Philip J. Reny, and Jeroen M. Swinkels (2009) • Agent has no private information• Pure moral hazard • Agent’s only action is a participation decision
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Survey • 117 Randomly Chosen Brown Students
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Conclusion• Optimal plans for big eaters : 20 meals/ week small eaters: 14 meals/ week
• Big Eaters are cost-conscious but appear to have some disutility with “wasting” meals. Hence they choose to switch to the flex even though the weekly plan is more cost minimizing.
• Small eaters may be cost-conscious but the principal agent dilemma overrides their ability to minimize their cost.
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References• Stefano DellaVigna, Ulrike Malmendier. 2005. “ Pay Not To Go To The Gym”• Kaniska Dam, David Perez-Castril. 2003. “ The Principal-Agent Matching Market”• Terrance Odean, 1998. “Are Investors Reluctant to Realize Their Losses?”• Ohad Kadan, Philip J. Reny, Jeroen M. Swinkels. 2009. “ Existence of Optimal Mechanisms in Principal-Agent Problems”• "Meal Plan choices and Pricing." Brown Dining. N.p., Web. 1 Dec. 2012.