Lecture 1: Utility Maximization Flashcards

(43 cards)

1
Q

Utility Maximization

A

Consumers choose the best bundle of goods (that maximize utility) among the ones that are affordable.

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2
Q

Two Primary Utility Maximization Approaches

A
  • The decision maker’s tastes as summarized in her “preference relation”
  • Assumptions of Individual Choice Behavior
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3
Q

The decision maker’s tastes as summarized in her “preference relation”

A

The theory is developed by imposing rationality axiom on the decision-makers’ preference and then analyzing the consequences of these preferences for her choice behavior in some set of X alternatives called the consumption set.

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4
Q

Individual’s choice behavior

A

Proceeds by making assumptions directly concerning this behavior

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5
Q

Two classic assumptions of individual choice behavior

A
  • (WARP) weak axiom of revealed preferences
  • (SARP) Strong Axiom of Revealed Preferences
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6
Q

Assumptions of preferences

A
  • Time and space are fixed
  • No negatives goods
    *
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7
Q

Why are time and space fixed?

A
  • Commodities in different time and spaces are considered different goods (umbrella in Oklahoma v Seattle at various times of the year).
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8
Q

The consumption set is denoted as ___

A
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9
Q

We assumed that x is ___ and ___

A

Closed and Convex

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10
Q

A closed set is ___

A

a set that includes its boundary points.

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11
Q

x is closed if ____

A

every convergent sequence in the set X converges to a point in x.

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12
Q

Physical Constraints of Consumption Goods

A
  • Must be consumed in integer amounts
  • Fixed space and time for goods
  • Consumption set reflecting survival needs
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13
Q

The simplest consumption set

A
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14
Q

Example of non-convex set

A
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15
Q

Example of convex set

A
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16
Q

Strict preference relation

A
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17
Q
A

known as the weak preference relation

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18
Q

The indifference relation

19
Q

Standard properties used to order the set of bundles

21
Q

Understanding the complete preference assumption

A

The consumer must be able to make a choice between the bundles of goods. Indecision will make it impossible to model choices.

22
Q

Understanding the transitivity assumption

A

this is necessary for rationality and consistency of the consumer’s preferences.

23
Q

Preference relation is rational if

A

it is complete and transitive

24
Q
A

The important part is that: rationality of >~ implies both > and ~ is transitive

25
Continuity
26
Why do we need the continuity assumption
It is necessary to rule out certain discontinuities. So we can assume the smoothness of consumer behavior. If we are working with continuous functions then we can't find solutions. **Most importantly:** if y is strictly preferred to z and if x is a bundle close enough to y, then x must be strictly preferred to z.
27
Utility function
a function, u: x -\> R, representing preference relation
28
\>~ (math def.)
if for all x,
29
Level curves in utility functions
These are indifference curves. They represent different combinations of goods that provide the same utility.
30
\> (math def.)
31
Weak Monotonicity
~\> satisfies if Thus, there can be cases where vectors can be equal rather than strictly greater. if x in X, then x \>\> y then x \>y ex: (3,2) \>\> (2,2) -\> x ~\> y
32
Strict Monotonicity
Strong monotonicity says that at least as much of every good and strictly more of some good is strictly better.
33
Euclidian distance between two points
Try a problem until you can do it in your head
34
Local Nonsatitation
A weaker notion that monotonicity
35
Graph of monotonicity and local nonsatiation
36
Convexity
37
Show convexity graphically
38
Strict convexity
39
Convexity implies that an agent prefers \_\_\_ How does this translate graphically between strict convexity and normal convexity
averages to extremes
40
Convexity is a generalization of \_\_\_
the neoclassical assumption of diminishing marginal rates of substitution.
41
Existence of a utility function: Supposes preferences are \_\_\_
* complete, * reflexive, * transitive, * continuous, * and strongly monotonic.
42
If there exists a utility function, then there exists \_\_\_
43