What do consumers want? What do they maximize?
Avoid being normative & make as few assumptions as possible
We'll assume people maximize preferences
Example:
Bundle a=(412) or Bundle b=(612)
a≻b: Strictly prefer a over b
a≺b: Strictly prefer b over a
a≻b: Strictly prefer a over b
a≺b: Strictly prefer b over a
a∼b: Indifferent between a and b
1 Note you can allow for "weak" preferences: (a⪰b), i.e. "a is at least as good as b." We use "strict" preferences to keep it simple.
Reflexivity : any bundle is at least as preferred as itself: a⪰a
Completeness : any two bundles can be ranked: a⪰b or a⪯b or a∼b∀(a,b)∈R+
Reflexivity : any bundle is at least as preferred as itself: a⪰a
Completeness : any two bundles can be ranked: a⪰b or a⪯b or a∼b∀(a,b)∈R+
Transitivity : rankings are logically consistent:
For each bundle, we now have 3 pieces of information:
How to represent this information graphically?
Cartographers have the answer for us
On a map, contour lines link areas of equal height
We will use "indifference curves" to link bundles of equal preference
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Apartment A has 1 friend nearby and is 1,200 ft2
Apartment B has more friends but less ft2
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Apartment A has 1 friend nearby and is 1,200 ft2
Apartment B has more friends but less ft2
Apartment C has still more friends but less ft2
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Apartment A has 1 friend nearby and is 1,200 ft2
Apartment B has more friends but less ft2
Apartment C has still more friends but less ft2
If A∼B∼C, these apartments are on the same indifference curve
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Indifferent between all apts on the same curve
Apts above the curve are preferred over apts on the curve
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Indifferent between all apts on the same curve
Apts above curve are preferred over apts on curve
Example: Suppose you are hunting for an apartment. You value both the size of the apartment and the number of friends that live nearby.
Indifferent between all apts on the same curve
Apts above curve are preferred over apts on curve
Apts below curve are preferred less than apts on curve
We can always draw indifference curves: two bundles can always be ranked
Monotonic: "more is preferred to less"
Convex: "averages are preferred to extremes"
Indifference curves can never cross: preferences are transitive
We can always draw indifference curves: two bundles can always be ranked
Every possible bundle (point on graph) is on an indifference curve
We can always draw indifference curves: two bundles can always be ranked
Every possible bundle (point on graph) is on an indifference curve
Monotonic: "more is preferred to less"
For any bundle b with more of at least one good than bundle a⟹a≺b
Moves to NE always preferable
Moves to SW always unpreferable
Application: What do indifference curves look like for bads?
Convex: "averages are preferred to extremes"
Take a (weighted) average of any two apartments on curve
Any apt that provides a "balance" of the two desired goods (e.g. C)≺ "unbalanced" (A or B)
Observation: people prefer variety in consumption
Mathematically:1 convex ⟹ a line connecting two points on function lies above the function
1 f(wx1+(1−w)x2)<wf(x1)+(1−w)f(x2)∀w∈[0,1]
Application: What do non-convex (e.g. concave) indifference curves look like? What kinds of preferences does this imply?
Indifference curves can never cross: preferences are transitive
Suppose two curves crossed:
A∼B
B∼C
But C ≻ B!
Preferences are not transitive!
If I take away one friend nearby, how many more ft2 would you need to keep you indifferent?
Marginal Rate of Substitution (MRS): rate at which you trade off one good for the other and stay satisfied (remain indifferent)
Think of this as the opportunity cost: # of units of y you need to give up to acquire 1 more x
Recall, budget constraint measures market-valued trade off between x and y
MRS measures your personal evaluation of x vs. y based on your preferences
If I take away one friend nearby, how many more ft2 would you need to keep you indifferent?
Marginal Rate of Substitution (MRS): rate at which you trade off one good for the other and stay satisfied (remain indifferent)
Think of this as the opportunity cost: # of units of y you need to give up to acquire 1 more x
Recall, budget constraint measures market-valued trade off between x and y
MRS measures your personal evaluation of x vs. y based on your preferences
MRS is the slope of the indifference curve MRSx,y=−ΔyΔx=riserun
Amount of y given up for 1 more x
Note: slope (MRS) changes along the curve!
Long ago (1890s), utility considered a real, measurable, cardinal scale1
Utility thought to be lurking in people's brains
Obvious problems
1 "Neuroeconomics" & cognitive scientists are re-attempting a scientific approach to measure utility
20th century innovation: preferences as the objects of maximization
We can plausibly measure preferences via implications of peoples' actions!
Principle of Revealed Preference: if x and y are both feasible, and if x is chosen over y, then the person must (weakly) prefer x⪰y
Flawless? Of course not. But extremely useful!
So how can we build a function to "maximize preferences"?
Construct a utility function u(⋅)1 that represents preference relations (≻,≺,∼)
Assign utility numbers to bundles, such that, for any bundles a and b: a≻b⟺u(a)>u(b)
1 The ⋅ is a placeholder for whatever goods we are considering (e.g. x, y, burritos, lattes, etc)
We can model "as if" the consumer is maximizing utility/preferences by maximizing the utility function:
"Maximizing preferences" : choosing a such that a≻b for all available b
"Maximizing utility" : choosing a such that u(a)>u(b) for all available b
Identical if they contain the same information
1 The (\cdot)
is a placeholder for whatever goods we are considering (e.g. (x)
, (y)
, (burritos)
, (lattes)
, etc)
Imagine three alternative bundles of (x,y): a=(1,2)b=(2,2)c=(4,3)
Create a utility function u(⋅) that assigns each bundle a utility level of
u(⋅) |
---|
u(a)=1 |
u(b)=2 |
u(c)=3 |
Imagine three alternative bundles of (x,y): a=(1,2)b=(2,2)c=(4,3)
Create a utility function u(⋅) that assigns each bundle a utility level of
u(⋅) |
---|
u(a)=1 |
u(b)=2 |
u(c)=3 |
Imagine three alternative bundles of (x,y): a=(1,2)b=(2,2)c=(4,3)
Now consider u(⋅) and a second utility function v(⋅):
u(⋅) | v(⋅) |
---|---|
u(a)=1 | v(a)=3 |
u(b)=2 | v(b)=5 |
u(c)=3 | v(c)=7 |
Utility numbers have an ordinal meaning only, not cardinal
Only the preference ordering* of a,b,c matters!
Both are valid:1
Because c≻b≻a
1 See the Mathematical Appendix in Today's Class Page for why.
What do consumers want? What do they maximize?
Avoid being normative & make as few assumptions as possible
We'll assume people maximize preferences
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